What is AI Architect – Cursor Mastery – Zero to Expert – 23 Hours of Practical Development for Cheap?
Learning AI Architecture: From Cursor Novice to Expert in 23 Thrilling Hours
Perhaps hoping you could develop smart AI solutions rather than just consuming them; have you ever found yourself confused by all the AI jargon whirling about internet forums? Welcome to the deep dive you never knew you needed as we use the esteemed program, AI Architect – Cursor Mastery – Zero to Expert – 23 Hours of Practical Development, to untangle the art and science underlying AI architecture.
This is a rollicking, brain-teasing, skill-sharpening trip from novice to expert—all in just 23 hours of hands-on, practical learning—not just another AI course. This book provides all you need to know about conquering the AI architectural mountain, regardless of your age—35 and looking to change your profession or just an inquisitive mind ready to create the next killer app.
Let us buckle in and get going.
Why Architecture of AI Matters Right Now More Than Ever: Artificial intelligence is transforming our homes, offices, and even those casual conversations with our smart devices—not a passing trend. Rising at a CAGR of 37.3% between 2023 and 2030, Statista projects that the global AI industry will reach $1.81 trillion by 2030. There is a yawning void in this fast changing terrain for those who not only know what artificial intelligence does but also who can construct whole solutions from start and do so deftly.
AI Architect; Zero to Expert; Cursor Mastery; 23 Hours of Practical Development bridges that gap, demystifying AI architectures and showing you how to wield the cursor like a maestro, building, developing, and deploying actual AI systems.
The AI Architect: Zero to Expert Experience – Cursor Mastery Looks like a useful curriculum including practical problems.
This kind of course will not cause your brain to whirl in theoretical clouds. Rather, you will:
Start with zero: < Have not used Python or TensorFlow before? Not a concern.
Create, not merely observe. Attack real-world case studies ranging from recommendation engines to natural language understanding bots.
Become the master of the cursor. Discover the fundamental “cursor” idea for managing datasets, negotiating models, and debugging unanticipated neural network peculiarities.
23 Hours: Why Exactly This Number?
There is science to explain the craziness. Malcolm Gladwell famously popularized the “10,000-hour rule,” yet you really have a work, a life, and binge-worthy shows to watch. This all-in-one application thereby compiles years of scattered YouTube tutorials into a condensed 23-hour route plan. After all, the average adult’s ability for focused learning peaks after ninety minutes; dividing the road into bite-sized courses helps you recall more and reduces stress.
Important Chapters Unpacked
Let’s go through some of the highlights you will come across methodically.
Arriving to Base Camp: The Foundations
You will find yourself grounded here. Knowing the fundamental design of simple neural networks can help you to grasp:
From weights and biases to activation functions, what makes artificial intelligence “tick”?
The holy trio of algorithms, models, and data.
How the notorious cursor slices massive databases and provides bite-sized, processable bits for your models?
Rising Higher: Middle Knowledge
The actual adventure starts right now. You’ll pick up:
Like a professional, clean and prepare data utilizing clever cursor movements for speed.
Tune hyperparameters (that means modify your recipe to produce the ideal batch of artificial intelligence cookies).
Leverage pre-trained models with transfer learning—sort of as standing on the shoulders of AI behemoths.
Mastery of Apex: Overcoming Practical Problems
By hour twenty-three, you will be designing artificial intelligence rather than only “knowing” it. Projects culminating in a capstone include:
Forecasting complicated trends: (financial markets, consumer behavior, or even if your next plant will survive neglect.)
Natural language processing in action: running sentiment analysis and chatbots with power.
System of vision: Teaching your own systems of image classification.
Practical debugging, troubleshooting, and optimization advice permeates all of these projects to help you never feel lost.
Why Choose Zero to Expert – Cursor Mastery – AI Architect – 23 Hours of Practical Development Over Others?
Maths Never Lie
With practical education, completion rates soar. Students enrolled in project-based AI classes are 68% more likely to graduate according to Coursera.
Professionals learning AI architecture quadruple their average pay; Payscale notes U.S. salaries for advanced AI positions ranging from $102,000 to $ 170,000.
Customized for Real People
You are more than simply another visitor. Designed for adults (yes, even those over 35) with full lives, varied learning speeds, and varied experiences, the curriculum is You’ll find:
Bite-sized lessons and self-evaluations help with flexible pace.
Mentoring access: Q&A meetings with course designers.
Update lifetime: Remain current as artificial intelligence trends change.
The Cursor: Undressed Hero of AI Data Frameworks
Let’s have a store conversation. The “cursor” is the backbone for effective data input, preprocessing, and batching in both training and production situations, not only a weird sound in Python documentation.
How a Cursor Retieves Your Sanity
Consider dealing with a 10 million image dataset. Load everything all at once. Good fortune with regard to your memory and tolerance. Making use of a cursor implies:
Batches of data are how you handle it—perfect for constrained memory systems.
Debugging effectively is like seeing and manipulating data “midstream.” After an hour-long load process, there is no more battling cryptic mistakes.
Tips for Cursors You will learn
Apply real-time data augmentations (think of random cropping or color correction for image datasets) with cursors.
effective distributed training data sharding.
Smart checkpointing helps you never lose your position—even following a catastrophic laptop crash or power outage.
Student Success Stories: Emphasize actual outcomes.
Here’s evidence in the pudding if you’re wondering whether it’s feasible to move from zero to hero:
From HR manager to AI product manager, Jenna, 39 guided her team in creating an intelligent scheduler for remote employees. “The 23-hour focused structure made the impossible—possible.”
Nikolai, 42: Saved more than $1 million in first year expenses by using program abilities to maximize supply chain forecasts for a big retailer.
You’re not needed to be a math PhD or elusive code genius. You require curiosity, a readiness to learn, and the correct methodical approach.
Practical Development: All the Way to the Finish Line Beyond Theory
Theory is good until you run across a runtime issue that drives you to wish your laptop on fire. For this reason, AI Architect Cursor Mastery – Zero to Expert – 23 Hours of Practical Development stresses:
Tutorial troubleshooting: Find out what to check before you start to panic.
Notes on version control: Safe experimentation, simple rollbacks.
Practical demonstrations: hands-on guides From raw data to functional deployment, follow along with each step.
According to LinkedIn Learning data, exactly what you will discover here—85% of professionals prefer courses with direct application and project-based evaluation.
Your Competitive Edge—Your Zero to Expert Mindet
To be honest, companies want professionals not hobbyists. The disciplined road from zero to expert distinguishes you even if you learn everything on your own.
Skills you will carry with you:
planning scalable, modular artificial intelligence systems.
Effective data pipeline management helps to make the “big” datasets seem little.
Using the most recent artificial intelligence libraries, writing reusable, neat code.
And most essential, since change is the one constant in artificial intelligence, the assurance to keep learning.
FAQs: Everything You Want to Know (But Were Not Sure To Ask)
Does mastery of this call for a PhD?
Absolutely not! You are ready if you can utilize a spreadsheet and follow directions.
Is Python absolutely mandatory?
While every example employs Python, every idea is conveyed without reference to “assumed magic”. Python will seem more like an obedient puppy at the end than like a snake.
Will I be really an expert?
You will develop the knowledge required to create, troubleshoot, and implement workable artificial intelligence systems. And since technology is continually changing, you will also know where and how to keep studying.
In essence, your AI path begins here.
The world is changing. Businesses are rushing for talented AI architects able to close the gap between corporate value and academic theory.
You have every tool you need with AI Architect – Cursor Mastery – Zero to Expert – 23 Hours of Practical Development: a structured roadmap, hands-on projects, seasoned mentors, and a supporting community.
In less than a day’s worth of lessons, are you ready to transform from inquisitive observer into confident AI architect?
To register in AI Architect – Cursor Mastery – Zero to Expert – 23 Hours of Practical Development and transform your ambition into action now visit coursesfast.com. Already getting the spark? For further detailed advice, consult our Ultimate Guide to Creating Your First AI Application.
You now understand the feasible (and profitable) extent of artificial intelligence competence. Your initial step is the one lacking ingredient. The world—as well as your future AI discoveries—are waiting. Get right in.
AI Architect Cursor Mastery – Zero to Expert – 23 Hours of Practical Development Index:
📄 .DS_Store (14.00 KB)
📂 1000x Cursor Course
📄 #01-CONTENT.png (3.59 MB)
📄 #23 How to build a voice powered real time Image gen webapp with Flux and Groq prompt helper.mp4 (364.36 MB)
📄 .DS_Store (8.00 KB)
📄 10x_universal_chat.zip (68.48 MB)
📄 9x_batchapi_walkthrough.zip (50.93 MB)
📄 Best way to use cursorrules file(IMO).mp4 (61.30 MB)
📄 Building a frankenthought-chat combining answers from all reasoning models deepseek, o1, qwq & gemini flash thinking with final synthesis.mp4 (119.63 MB)
📄 Cursor deep dive (FREE TO WATCH 💝).mp4 (98.27 MB)
📄 Cursor self improving o1 agent building experiment.mp4 (102.08 MB)
📄 How to build a Full Stack ChatGPT clone with FastAPI using Cursor Composer. Added August 5.mp4 (184.42 MB)
📄 How to build a Full Stack Fastapi webapp builder with o1 and Sonnet.mp4 (114.04 MB)
📄 How to build a FullStack Guided Meditation app with Fastapi.mp4 (298.74 MB)
📄 How to build a Groq chatbot.mp4 (88.74 MB)
📄 How to build a Multi modal RAG system with chroma DB.mp4 (141.22 MB)
📄 How to build a Realtime Voice agent with tools using livekit and python.mp4 (125.71 MB)
📄 How to build a Swarm intelligence.mp4 (194.76 MB)
📄 How to build a Universal chat with multiple models.mp4 (71.58 MB)
📄 How to build a form filling(resume) AI chat full stack webapp.mp4 (154.11 MB)
📄 How to build a market research app.mp4 (116.57 MB)
📄 How to build a math and physics problem generator to test LLMs with.mp4 (107.94 MB)
📄 How to build a memory system for LLMs.mp4 (136.49 MB)
📄 How to build a o1 Auto Teacher that builds educational websites with text, images and audio.mp4 (149.07 MB)
📄 How to build a perplexity research webapp with fastapi using new Sonnet and Cursor Composer.mp4 (292.74 MB)
📄 How to build a writing assistant with Llama 405b via Groq API.mp4 (75.54 MB)
📄 How to build an AI scientist.mp4 (196.32 MB)
📄 How to build an AI with Genetic Algorithm that learns to play the snake game.mp4 (89.15 MB)
📄 How to build an Arxiv RAG Researcher. Added July 12.mp4 (38.69 MB)
📄 How to build an o1 Oracle which performs long range research using perplexity on any given topic.mp4 (465.36 MB)
📄 How to build an o1 coding team project manager, coders are Claude Sonnets..mp4 (229.50 MB)
📄 How to build automatic persona generator.mp4 (116.24 MB)
📄 How to build with OpenAI batch API coding walkthrough.mp4 (59.46 MB)
📄 How to get GPT to watch multiple videos at the same time.mp4 (81.40 MB)
📄 How to integrate web search for any LLM api call.mp4 (93.63 MB)
📄 How to use Rules for AI(under Cursor settings) – 1000x Course.mp4 (95.10 MB)
📄 How to use cursorrules file, regular and step by step method explained.mp4 (110.30 MB)
📄 LESSONS.png (3.67 MB)
📄 Live coding workshop with Patrons part 1.mp4 (222.01 MB)
📄 Live coding workshop with Patrons part 2.mp4 (189.52 MB)
📄 Multi solution generating o1 data scientist.mp4 (165.09 MB)
📄 Multi stage critique system with reasoning models as depseek-r1 & gemini-flash-thinking.mp4 (185.93 MB)
📄 Openrouter_exa_integrated_web_Search_files_and_video.zip (297.76 MB)
📄 Tool calling agents basics.mp4 (56.91 MB)
📄 UPDATED How to build an o1-mini Data scientist- Scored top 1% in Kaggle challenge.mp4 (235.65 MB)
📄 UPDATED O1 DATA SCIENTIST- CODE AND VIDEO.zip (806.53 MB)
📄 Using Cursor as a stock analyst.mp4 (85.20 MB)
📄 agent(with_perplexity_tool_remove this_when_using).py (8.26 KB)
📄 arxiv-rag-researcher-with-gpt-July-12 (1).zip (35.94 MB)
📄 building an o1 tool calling research agent with .cursorrules file.mp4 (507.41 MB)
📄 chatgpt_clone_cursor_composer_august_5_2024 (1).zip (142.62 MB)
📄 combined chat with all reasoning models files adn video.zip (106.66 MB)
📄 cursor as stock analyst code and video files.zip (78.38 MB)
📄 cursor self improving agent building process code and video.zip (93.13 MB)
📄 cursor_live_coding_part_1_august_10th.zip (155.88 MB)
📄 cursor_live_coding_part_2_august_10th.zip (127.94 MB)
📄 flux realtime image gen project files and video.zip (195.19 MB)
📄 form filling AI chat webapp.zip (10.68 KB)
📄 full stack fastapi webapp builder code and video.zip (88.77 MB)
📄 full stack meditation app files and video.zip (236.70 MB)
📄 genetic_algorithm_learns_to_play_snake_August_12th.zip (72.30 MB)
📄 gpt_watches_multiple_videos_simultenously (1).zip (145.55 MB)
📄 groq_chatbot_speed_coding.zip (74.55 MB)
📄 how to build a data scientist code and video.zip (135.76 MB)
📄 how to build a writing assistant with evaluation agents using structured outputs.mp4 (339.79 MB)
📄 how to build an AI scientist_August_25th.zip (168.94 MB)
📄 how to create a math and physics problem generator.zip (98.10 MB)
📄 live kit realtime voice agent files and video.zip (110.77 MB)
📄 market-research-app-coding-walktough-live-commentary (1).zip (113.03 MB)
📄 memory_extractor_coding_walkthrough_no_commentary.zip (115.94 MB)
📄 multi solution o1 data scientist code and video.zip (148.07 MB)
📄 multi-modal-rag-live-commentary (1).zip (119.19 MB)
📄 multi-thinking-models-critique-system-files-and-video.zip (166.80 MB)
📄 o1 auto teacher code and video.zip (575.63 MB)
📄 o1_coding_team_manager.zip (4.65 KB)
📄 o1_oracle_v1_perplexity.mp4 (432.92 MB)
📄 o1_oracle_v1_project files.zip (124.12 KB)
📄 o1_tool_calling_research_agent.zip (43.23 KB)
📄 perplexity finance researcher webapp with fastapi.zip (13.46 KB)
📄 persona_generator_walkthrough (1).zip (105.42 MB)
📄 swarm_intelligence_batch (1).zip (151.31 MB)
📄 tool calling agents basics code and video.zip (51.20 MB)
📄 writing assistant with llama 405b-using-groq-api_July_23.zip (59.83 MB)
📄 writing_assistant_with_eval_agents.zip (18.25 KB)
📂 1000x LAB for Architect+ tiers
📄 #01-CONTENT.png (1.88 MB)
📄 01-05-24 1000x Lab building research agents, list making, effects of promting nicely New.mp4 (514.39 MB)
📄 01-12 1000x Lab Free o1, o1 use cases, building threaded agents, cursor as data scientist, cursor as data analyst and more.mp4 (648.72 MB)
📄 01-12 1000x lab files and links.zip (94.49 MB)
📄 01-19-24 1000x Lab(NO SOUND 😭) building research agents, list making, effects of promting nicely.mp4 (645.63 MB)
📄 01-26 1000x Lab API integrated web search, extracting reasoning from deepseek-r1 and multi-thinking systems, solving GPQA New.mp4 (583.35 MB)
📄 01-26-1000x-lab-files.zip (693.88 KB)
📄 02-09 1000x Lab o3-4 and singularity, deep research custom use cases, debugging, multi-cursor-rules.mp4 (241.95 MB)
📄 1-19-1000x-lab-meeting.zip (365.81 KB)
📄 10.13 Architect+ AMA Building an o1 researcher FastAPI webapp.mp4 (361.11 MB)
📄 10.20 Architect+ AMA GenesisMind, Podcast maker and GenAI video.mp4 (349.37 MB)
📄 10.27 Architect+ AMA Beautiful auto completing writing assistant webapp with Groq API.mp4 (215.90 MB)
📄 10.6 Architect+ AMA Building a free LLM apps webapps for patrons.mp4 (411.53 MB)
📄 11.10 Architect+ AMA Website building and improving auto coder.mp4 (339.36 MB)
📄 11.29 Architect+ AMA Step by step apps with Cursor and Windsurf.mp4 (56.61 MB)
📄 12-29-24 1000x Lab o3, using o1, agents, AVM api.mp4 (444.78 MB)
📄 12-29-24 1000x meeting.zip (23.59 KB)
📄 12.15 Architect+ AMA Openai swarm and book maker with up to date info from perplexity.mp4 (267.42 MB)
📄 12.8 Architect+ AMA Cursor nightly, agentic cursor, o1 for ideation, games with AI.mp4 (252.14 MB)
📄 2-09-meeting-files.zip (16.55 KB)
📄 9.15 Architect+ AMA building a o1-mini data scientist and solving a kaggle challenge.mp4 (474.76 MB)
📄 9.22 Architect+ AMA building a Contextual RAG from Antropic research.mp4 (351.20 MB)
📄 9.29 Architect+ AMA deploying apps on railway in minutes + building a guided meditation app.mp4 (245.55 MB)
📄 auto write with completions.zip (7.27 KB)
📄 book_maker.py (12.06 KB)
📄 contextual RAG.zip (14.57 KB)
📄 guided_meditation_app.zip (3.29 KB)
📄 o1-researcher webapp fastapi.zip (7.47 KB)
📄 o1_data_Scientist.zip (284.15 KB)
📄 rearch_agents-prompting-nicely-list making.zip (18.85 KB)
📄 website_auto_coder.zip (7.87 KB)
📂 Auto AGI
📄 #01-CONTENT.png (1.14 MB)
📄 AUTO AGI Code Review.srt (33.86 KB)
📄 Code files for Dynamic Duo Agi Agents and Code Interpreter Transform Task Execution.txt (115.00 B)
📄 Code files for GPT agent that actually works and writes.txt (28.00 B)
📄 Code files for GPT-4 Auto Agi Agent gets communicating swarm intelligence as a tool upgrade.txt (175.00 B)
📄 Code files for Voice controlled Auto AGI with swarm and multi self launch capabilities.txt (698.00 B)
📄 Code review for AUTO AGI – Patrons exclusive.mp4 (97.09 MB)
📄 ORIGINAL_AUTO_AGI.zip (6.11 KB)
📄 Original Auto AGI now availabe at $30 tier.txt (52.00 B)
📄 Swarm_Auto_AGI.zip (25.42 KB)
📄 code_files.zip (5.73 KB)
📄 swarm AGI super powers.zip (68.83 KB)
📄 voice controlled Auto AGI with swarm.zip (59.97 KB)
📂 Auto Coder Collections
📄 #01-CONTENT.png (2.10 MB)
📄 (all files) GPT-4 AUTO CODER SELF IMPROVER video ALL code files.txt (780.00 B)
📄 (basic files) GPT-4 AUTO CODER SELF IMPROVER.txt (136.00 B)
📄 AUTO_CODER_ALL_FILES.zip (18.39 KB)
📄 AUTO_CODER_BASIC.zip (7.39 KB)
📄 Auto Coder V 4 Code Review Exclusive video with code files Patre.mp4 (288.81 MB)
📄 CODE_FILES (2).zip (18.50 KB)
📄 CODE_FILES (3).zip (2.98 KB)
📄 CODE_FILES.zip (18.50 KB)
📄 Code files for Auto Coder codes a GPT text adventrue gmae,web automation tools and musci.txt (446.00 B)
📄 Code files for GPT Auto Coder V.4.txt (873.00 B)
📄 Code files for GPT-3 Auto Coder 3 with Code Interpreter.txt (684.00 B)
📄 Code files for chatgpt auto builder codes multi files applications form basic descriptions video.txt (841.00 B)
📄 Code files for function calling Auto Coder App Maker.txt (611.00 B)
📄 Dueling Auto Coders.txt (599.00 B)
📄 GPT-3 Auto Code exectuting debugger code files.txt (47.00 B)
📄 GPT-3 Auto Coder 2.txt (154.00 B)
📄 GPT-3 Multi thereaded Auto Coder for simulaneous multiple code generation.txt (47.00 B)
📄 GPT-4 Auto Codes websites with HTML, CSS and JavaScript video files.txt (207.00 B)
📄 UPDATED GPT 4 Auto Coder streamlit files.txt (396.00 B)
📄 code.zip (76.89 MB)
📄 code_files (1).zip (4.26 KB)
📄 code_files (4).zip (14.74 KB)
📄 code_files (5).zip (8.02 KB)
📄 dueling_auto_coders.zip (6.23 KB)
📄 instructions_to_run.txt (764.00 B)
📄 main_self_improve_debugger.zip (2.79 KB)
📄 main_self_improve_parallel_app_ST.zip (3.94 KB)
📄 updated_auto_coder_single_thread_with_st (1).zip (2.39 KB)
📄 updated_auto_coder_single_thread_with_st (2).zip (2.39 KB)
📄 updated_auto_coder_single_thread_with_st.zip (2.39 KB)
📄 updated_code.zip (10.00 KB)
📂 Autogen
📄 #01-CONTENT.png (820.45 KB)
📄 AutoGen multi agent.zip (3.02 KB)
📄 Code Files for AutoGen Depp Dive with Multi Agent interactions.txt (641.00 B)
📄 Code Files for AutoGen Introduction in 5 files step by step incluging how to enable Docker.txt (747.00 B)
📄 Code Files for Multi Agent Autogen and Group Chat implementations step by step walkthrough.txt (855.00 B)
📄 autogen.zip (5.06 KB)
📄 autogen_deep_dive.zip (4.36 KB)
📄 license.txt (891.00 B)
📂 Echohive Courses
📄 #01-CONTENT.png (925.52 KB)
📄 01_first_steps_request_validation_response_models.zip (144.67 MB)
📄 02_html_response_story_maker_webapp.zip (194.74 MB)
📄 03_page_design_and_databases.zip (173.02 MB)
📄 1_basics.zip (76.07 MB)
📄 2_advanced_concepts.zip (96.53 MB)
📄 3_example_apps.zip (68.55 MB)
📄 4_multi_threading_in_streamlit.zip (49.86 MB)
📄 Assistants_API_step_by_step_Updated_20_December.zip (197.53 MB)
📄 Exclusive Streamlit course for Patrons UPDATED 5.10.mp4 (10.82 MB)
📄 Instructor_Updated_20_december.zip (48.67 MB)
📄 Learn FastAPI with GPT code examples UPDATED Dec 26.mp4 (38.49 MB)
📄 dalle3-tts story to website.zip (83.31 MB)
📄 everything Assistants API part_1 (1).zip (109.80 MB)
📄 everything Assistants API part_1.zip (109.80 MB)
📄 everything Assistants API part_2.zip (170.61 MB)
📄 gpt_4_vision_speech_examples.zip (75.60 MB)
📄 license.txt (891.00 B)
📄 new_openai_library_Updated_20_december.zip (153.32 MB)
📄 older_openai_library_0.28.zip (165.16 MB)
📂 Exclusive Content for Patrons
📄 #01-CONTENT.png (1.60 MB)
📄 1_basics.zip (76.07 MB)
📄 2_advanced_concepts.zip (96.53 MB)
📄 3_example_apps.zip (68.55 MB)
📄 4_multi_threading_in_streamlit.zip (49.86 MB)
📄 Auto Interviewer_v1.zip (16.80 KB)
📄 Code Files and Exclusive video for Auto Interviewer.mp4 (293.65 MB)
📄 Code files and Exclusive video for testing latest OpenAI model Embeddings large, small and gpt4 0125.mp4 (412.11 MB)
📄 Code files and exclusive full video for Searching for secrets in library of babel using GPT 4 API.mp4 (557.44 MB)
📄 Converting 10.000 rows to SQLite vector store in parallel. Exclusive coding walkthrough.mp4 (269.78 MB)
📄 Exclusive Streamlit course for Patrons UPDATED 5.10.mp4 (10.82 MB)
📄 FastAPI + GPT Full stack webapp exclusive video. uses websockets, deployed at railway.mp4 (450.88 MB)
📄 GPT narrates your work from screenshot of your screen.mp4 (16.55 MB)
📄 OpenAI speech and Opus realtime voice chat async explanation video.mp4 (145.41 MB)
📄 Patrons Exclusive Coding walkthrough coding a streamlit UI for Auto Coder.mp4 (348.67 MB)
📄 SQLite+embeddings_coding_walkthrough.zip (2.47 KB)
📄 auto_coder_streamlit_UI.zip (2.26 KB)
📄 fastpython website.txt (34.00 B)
📄 goodwiki dataset.txt (47.00 B)
📄 gpt_narrator.zip (1.88 KB)
📄 library_of_babel_search.zip (8.63 KB)
📄 openaitts_claude_twoway_voice_chat.zip (3.79 KB)
📄 testing_new_openai_models.zip (12.60 MB)
📂 Fine Tuning
📄 #01-CONTENT.png (1.12 MB)
📄 Automating fine tuning data generation using GPT 4 code files .txt (684.00 B)
📄 Code + dataset + embeddings for Auto generate fine tuning data for GPT 3.5 or other open source models.txt (224.00 B)
📄 Code Files for Automated fine tune gpt 3.6 turbo for Function calling.txt (644.00 B)
📄 Code file only for Auto generate fine tuning data for GPT 3.5 or other open source models from a single prompt.txt (333.00 B)
📄 Code files for Fine tune GPT 3.5 Turbo in Python. Sept by step instructions for entire procces.txt (439.00 B)
📄 Simplifyng Fine Tuning Jsonl dataset generation with a Python script Code files .txt (1.00 KB)
📄 automating fine tuning dataset.zip (7.82 KB)
📄 code + dataset + embeddings.zip (14.04 MB)
📄 code files only.zip (4.33 KB)
📄 fine tuning gpt.zip (22.72 KB)
📄 fine_tune_dataset_maker.zip (2.32 KB)
📄 llama auto fine tune.zip (11.33 KB)
📂 Full Stack Web Apps with GPT
📄 #01-CONTENT.png (1.69 MB)
📄 All code files for Full stack GPT Webapp summaries of latest Arxiv LLM papers.txt (918.00 B)
📄 CODE (1).zip (9.94 KB)
📄 CODE_FILES (2).zip (803.19 KB)
📄 ChatGPT UI .txt (305.00 B)
📄 Code FIles for FastAPI chatgpt web app using OpenAI api with HTML.txt (709.00 B)
📄 Code files for Build WebApps form a csv file and deploy to railwayapp.txt (47.00 B)
📄 Code files for Chatgpt with htmx, MongoDB and Tailwind video.txt (875.00 B)
📄 Code files for Htmx + Tailwing GPT.txt (485.00 B)
📄 Code files for chatgpt wbr app biolerplate with streaming responses built with html, Tailwinf css and JavaScript.txt (741.00 B)
📄 Code files for how to build and deploy a GPT web app. with conversation history deployed on railway video.txt (567.00 B)
📄 FastAPI + GPT Full stack webapp exclusive video. uses websockets, deployed at railway.mp4 (450.88 MB)
📄 GPT-4 API with streaming responses,chat history, streamlit, gradio UI, Java script.txt (47.00 B)
📄 GPT-4 codes ChatGPT chatbot with memory webapp with FastAPI.txt (1.90 KB)
📄 Non webapp code files for Full stack GPT Webapp summaries of latest Arxiv LLM papers.txt (976.00 B)
📄 basic_non_webapp_files (1).zip (4.02 KB)
📄 basic_non_webapp_files.zip (4.02 KB)
📄 code files for ChatGPT wrb UI locally for GPT-4 using FastAPI.txt (529.00 B)
📄 code.zip (11.88 KB)
📄 code_files (1).zip (6.04 KB)
📄 code_files (3).zip (6.54 KB)
📄 code_files (4).zip (5.27 KB)
📄 code_files (5).zip (1.62 KB)
📄 code_files.zip (5.14 KB)
📄 coed_files.zip (5.56 KB)
📄 htlm,css,js,python_files.zip (2.39 KB)
📄 webapp_code_files.zip (2.56 MB)
📂 Function Calling Collection
📄 #01-LESSONS.png (2.08 MB)
📄 ALL_CODE_FILES.zip (4.61 KB)
📄 All Code files for Basic Code files for Prototype.txt (424.00 B)
📄 All files for GPT-4 Codes near perfect Langchain.txt (558.00 B)
📄 All files for Voice control multiple GPT agents at the same time.txt (419.00 B)
📄 CODE_FILES (4).zip (3.32 KB)
📄 Code + dataset + embeddings for Aut generate.txt (311.00 B)
📄 Code FIles for OpenAI Function Calling stress test with 20 functions and 100 questions.txt (545.00 B)
📄 Code Files for Automated fine tune gpt 3.5 turbo for Function calling.txt (714.00 B)
📄 Code file only for Auto geneate fine tuning data for GPT 3.5.txt (333.00 B)
📄 Code files for Function calling,Self correcting GPT auto coder.txt (142.00 B)
📄 Code files for GPT agent that actully works and writes.txt (47.00 B)
📄 Code files for GPT-3 Code near perfect Langchain code using Vector.txt (435.00 B)
📄 Code files for Streaming responses with GPT Function Calling.txt (588.00 B)
📄 Code files for Voice controlled Auto AGI with swarm and multi self launch capabilities.txt (1.14 KB)
📄 Code files for function calling Auto Coder App Maker builds multi file apps.txt (611.00 B)
📄 Code files for function calling with chatgpt.txt (793.00 B)
📄 Code files ofor gpt function calling deep dive.txt (242.00 B)
📄 all_code_and_data_with_vectordb_csv.zip (37.94 MB)
📄 boilerplate_streaming_func.py (1.29 KB)
📄 code + dataset + embeddings.zip (14.04 MB)
📄 code files only.zip (4.33 KB)
📄 code_files (1).zip (5.73 KB)
📄 code_files (2).zip (336.25 KB)
📄 code_files (3).zip (8.56 KB)
📄 code_files (5).zip (5.93 KB)
📄 code_files.zip (4.45 KB)
📄 code_files_without_extracted_code_and_vectordb.zip (1.95 MB)
📄 llama auto fine tune.zip (11.33 KB)
📄 requirements.txt (128.00 B)
📄 updated_code.zip (10.00 KB)
📄 voice controlled Auto AGI with swarm.zip (59.97 KB)
📄 voice_agents_all_files.zip (3.59 KB)
📂 GPT Swarm Intelligence
📄 #01-CONTENT.png (1.03 MB)
📄 ALL_CODE_FILES.zip (4.61 KB)
📄 All Code files for Basic Coe files.txt (334.00 B)
📄 Code Files for Cummunicating Swarm.txt (337.00 B)
📄 Code files for 3gpt-4 agents communicate to build application code.txt (578.00 B)
📄 Code files for GPT-4 Auto AGI Agent gets communicating swarm.txt (707.00 B)
📄 Code fles for Dynamic Duo.txt (115.00 B)
📄 SWARM_GPT_COMUNICATING_CODE_FILES.zip (6.13 KB)
📄 Swarm_Auto_AGI.zip (25.42 KB)
📄 multi agent coder.zip (7.46 KB)
📄 swarm AGI super powers.zip (68.83 KB)
📂 Instructor
📄 #01-CONTENT.png (662.44 KB)
📄 .DS_Store (6.00 KB)
📄 Instructor Exclusive Deepdive for AI Architect+ Patrons.mp4 (352.54 MB)
📄 instructor_deep_dive.zip (45.37 KB)
📄 library_of_babel_search.zip (8.63 KB)
📄 license.txt (891.00 B)
📂 Langchain code files
📄 .Langchain Chain Your Large Languae model and chat with a superhero chatbot.txt (5.34 KB)
📄 All files for GPT .txt (556.00 B)
📄 CITATION.cff (231.00 B)
📄 Code files for GPT-4 Codes near perfect Langchain code using Vector db from docuemntation video.txt (452.00 B)
📄 Custom Langchain agent.tools with memory video code files.txt (762.00 B)
📄 GPT-3 searches the internet video files.txt (304.00 B)
📄 How to install Unstructured for Lngchain Document loaders.txt (3.51 KB)
📄 Langchain ChatGPT your comentes video files.txt (991.00 B)
📄 Langchain ChatGPT your data challenge PART2 video files.txt (1.07 KB)
📄 Langchain Summary and QA with Chromadb OpenAi Embeddings vector store with token count.txt (128.00 B)
📄 all_code_and_data_with_vectordb_csv.zip (37.94 MB)
📄 code_files (1).zip (1.15 KB)
📄 code_files (2).zip (282.64 KB)
📄 code_files.zip (1.15 KB)
📄 code_files_without_extracted_code_and_vectordb.zip (1.95 MB)
📄 corrected_main_file_for_memory.zip (1.05 KB)
📄 ingest_data.py (1.46 KB)
📄 langchain memory types python file.txt (39.00 B)
📄 langchain_agents_tools.py (1.21 KB)
📄 main.py (2.84 KB)
📄 memory_types.py (3.04 KB)
📄 prompt.json (446.00 B)
📄 query_data.py (1.12 KB)
📄 requirements.txt (128.00 B)
📂 Llama Index
📄 #01-CONTENT.png (1.19 MB)
📄 All Files for GPT-4 Code nar perfect Llama Index.txt (47.00 B)
📄 CODE_FILES (1).zip (21.08 KB)
📄 Code Files for Automated fine tune gpt 3.5 (716.00 B)
📄 Code files and crawled files.txt (28.00 B)
📄 Code files for LLama Index Semantic Search.txt (383.00 B)
📄 Code files for LLama Index.txt (161.00 B)
📄 Code files for Synthesieze answers over multimple invidual Vector Indices.txt (28.00 B)
📄 Code_files_without_extracted_code_and_embeddings.zip (2.73 MB)
📄 code_files.zip (2.70 KB)
📄 llama auto fine tune.zip (11.33 KB)
📂 Next JS
📄 #01-CONTENT.png (789.21 KB)
📄 All files for Next js + FastAPI + Python imprementation of real-time chat sentiment analysis with GPT-4 Omni.txt (617.00 B)
📄 Gpt-40 chat app builg with Vercel AI SKD + Next JS whits streaming responses.txt (645.00 B)
📄 Multiple LLM Agents perform analysis on an ongoing conversation. Next JS project with Vercel AI SDK.mp4 (13.67 MB)
📄 multi-agent-chat-nextjs.zip (138.70 MB)
📄 nextjs-chat-app.zip (118.80 MB)
📄 realtime-sentiment-analysis-ALL-FILES.zip (145.17 MB)
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