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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud.mp4 |
207.31MB |
| 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - app2.py |
1.24KB |
| 1 - Deploy the Gemma model on Google Colab & expose it to the web using Ngrok cloud - ollama_with_ngrok.ipynb |
102.08KB |
| 1 - Hugging Face Tutorial.mp4 |
138.80MB |
| 1 - LangChain Agents.mp4 |
70.83MB |
| 1 - LangChain Agents - agent.ipynb |
74.35KB |
| 1 - LangChain Agents - Guide.docx |
15.17KB |
| 1 - LangChain Agents - Recording 2025-09-17 080254.mp4 |
48.36MB |
| 1 - LangChain Agents - requirements.txt |
169B |
| 1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era.mp4 |
133.42MB |
| 1 - Mastering Fine-Tuning Exploring Types & Techniques in the LLM Era - fine-tuning.pptx |
817.50KB |
| 1 - PyTorch Core Principles and Foundations.mp4 |
200.09MB |
| 1 - PyTorch Core Principles and Foundations - Introduction_to_PyTorch.pdf |
789.25KB |
| 1 - Understanding Embeddings in the world of NLP.mp4 |
159.12MB |
| 1 - Understanding Embeddings in the world of NLP - embeddings.pptx |
1.21MB |
| 1 - What is LlamaIndex & its Use-Cases.mp4 |
125.24MB |
| 1 - What is MCP.mp4 |
168.43MB |
| 1 - What is MCP - MCP.pptx |
953.96KB |
| 2 - AI Voice Agent Emotion Analysis & Wellness Companion.mp4 |
162.37MB |
| 2 - AI Voice Agent Emotion Analysis & Wellness Companion - app.py |
5.01KB |
| 2 - AI Voice Agent Emotion Analysis & Wellness Companion - requirements.txt |
165B |
| 2 - Exploring the GPT-2 Model and Understanding Custom Datasets with Hugging Face.mp4 |
146.59MB |
| 2 - Fine-Tuning VS RAG.mp4 |
83.80MB |
| 2 - Fine-Tuning VS RAG - fine-tuning-vs-RAG.pptx |
1.01MB |
| 2 - Running Our First Local LLM using Qwen Model.mp4 |
89.69MB |
| 2 - Running Our First Local LLM using Qwen Model - app.py |
469B |
| 2 - Running Our First Local LLM using Qwen Model - requirements.txt |
13B |
| 2 - Understanding FASTMCP A Python Framework for Building and Developing MCP.mp4 |
100.50MB |
| 3 - Building a FastMCP setup integrated with a local database and an Ollama Agent.mp4 |
343.13MB |
| 3 - Building a FastMCP setup integrated with a local database and an Ollama Agent - server.py |
2.43KB |
| 3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone.mp4 |
312.20MB |
| 3 - Building a RAG-powered Assistant with LLaMA 3.1 using Pinecone - llama-rag.ipynb |
6.87KB |
| 3 - Deep Understanding of Language Models.mp4 |
105.17MB |
| 3 - Deep Understanding of Language Models - Language Models.pptx |
1.79MB |
| 3 - Hands-On Fine-Tuning From Theory to Practice.mp4 |
447.96MB |
| 3 - Hands-On Fine-Tuning From Theory to Practice - fine-tuning.ipynb |
48.14KB |
| 3 - Virtual AI Based Talking Agents.mp4 |
80.37MB |
| 4 - AI Copilot Agent.mp4 |
133.26MB |
| 4 - AI Copilot Agent - agent.ipynb |
3.74KB |
| 4 - AI Copilot Agent - app.py |
667B |
| 4 - Deepseek Coder Assistant.mp4 |
124.35MB |
| 4 - Deepseek Coder Assistant - app.py |
6.02KB |
| 4 - Deepseek Coder Assistant - requirements.txt |
32B |
| 4 - Inside Transformer Architecture How It Works.mp4 |
229.39MB |
| 4 - Inside Transformer Architecture How It Works - Transformer Model.pptx |
3.01MB |
| 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS.mp4 |
134.19MB |
| 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - app.py |
1.94KB |
| 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - main.py |
1.21KB |
| 5 - Building a Voice-to-GPT Agent with Streamlit, FastAPI, Whisper & TTS - whisper.py |
1.62KB |
| 6 - AI Fitness & Diet Planner Agent.mp4 |
106.88MB |
| 6 - AI Fitness & Diet Planner Agent - app.py |
2.11KB |
| Bonus Resources.txt |
70B |
| Get Bonus Downloads Here.url |
180B |