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Generative Question-Answering with OpenAI's GPT-3.5 and Davinci
Generative AI and LLMs
Generative Question Answering (GQA) is the application of generative AI to create human-like interactions and information retrieval with machines. š² Pinecone article: https://www.pinecone.io/learn/openai-gen-qa/ GitHub: https://github.com/pinecone-io/examples/tree/master/learn/generation/openai/openai-ml-qa š¤ AI Dev Studio: https://aurelio.ai/ š Subscribe for Article and Video Updates! https://jamescalam.medium.com/subscribe https://medium.com/@jamescalam/membership š¾ Discord: https://discord.gg/c5QtDB9RAP 00:00 Generative Question Answering with OpenAI 00:56 Example App for Generative QA 05:02 OpenAI Pinecone Stack Architecture 07:18 Dealing with LLM Hallucination 09:28 Indexing all data 13:47 Querying 16:37 Generation of answers 21:25 Testing some generative question answers 22:55 Final notes #openai #artificialintelligence #machinelearning #deeplearning
About the course
The Generative AI and Large Language Models (LLMs) course covers everything you need to know about: - Generative AI - Large Language Models (LLMs) - OpenAI, Cohere, Hugging Face - Managed vs. Open Source - LLM Libraries like LangChain and GPT Index - Long-term memory and retrieval-augmentation And more to come...
54lessons
9hours
Lessons
- Prompt Engineering with OpenAI's GPT-3 and other LLMs
- Prompt Engineering with OpenAI's GPT-3 and other LLMs
- Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1
- Getting Started with GPT-3 vs. Open Source LLMs - LangChain #1
- Prompt Templates for GPT 3.5 and other LLMs - LangChain #2
- Prompt Templates for GPT 3.5 and other LLMs - LangChain #2
- Generative AI and Long-Term Memory for LLMs (OpenAI, Cohere, OS, Pinecone)
- Generative AI and Long-Term Memory for LLMs (OpenAI, Cohere, OS, Pinecone)
- OpenAI's New GPT 3.5 Embedding Model for Semantic Search
- OpenAI's New GPT 3.5 Embedding Model for Semantic Search
- Cohere AI's LLM for Semantic Search in Python
- Cohere AI's LLM for Semantic Search in Python
- Generative Question-Answering with OpenAI's GPT-3.5 and Davinci
- Generative Question-Answering with OpenAI's GPT-3.5 and Davinci
- Open Source Generative AI in Question-Answering (NLP) using Python
- Open Source Generative AI in Question-Answering (NLP) using Python
- GPT 4: Hands on with the API
- GPT 4: Hands on with the API
- GPT 4: Superpower results with search
- GPT 4: Superpower results with search
- ChatGPT Plugins: Build Your Own in Python!
- ChatGPT Plugins: Build Your Own in Python!
- NEW Hugging Face Agents ā First Look
- NEW Hugging Face Agents ā First Look
- Using NEW MPT-7B in Hugging Face and LangChain
- Using NEW MPT-7B in Hugging Face and LangChain
- Hugging Face Agents ā Building Custom Tools
- Hugging Face Agents ā Building Custom Tools
- Llama Index 101 with Vector DBs and GPT 3.5
- Llama Index 101 with Vector DBs and GPT 3.5
- Open LLaMa in LangChain and Hugging Face
- Open LLaMa in LangChain and Hugging Face
- NEW GPT-4 Function Calling Model!
- NEW GPT-4 Function Calling Model!
- Building Chatbot Agents from Scratch with OpenAI Functions!
- Building Chatbot Agents from Scratch with OpenAI Functions!
- MPT-30B Chatbot with LangChain!
- MPT-30B Chatbot with LangChain!
- BEST Open Source LLM ā Falcon 40B Chatbot in LangChain
- BEST Open Source LLM ā Falcon 40B Chatbot in LangChain
- Llama 2 in LangChain ā FIRST Open Source Conversational Agent!
- Llama 2 in LangChain ā FIRST Open Source Conversational Agent!
- Hugging Face LLMs with SageMaker + RAG with Pinecone
- Hugging Face LLMs with SageMaker + RAG with Pinecone
- How to Make RAG Chatbots FAST
- How to Make RAG Chatbots FAST
- NEW AI Framework - Steerable Chatbots with Semantic Router
- NEW AI Framework - Steerable Chatbots with Semantic Router
- Llama.cpp for FULL LOCAL Semantic Router
- Llama.cpp for FULL LOCAL Semantic Router
- OpenAI's NEW 256-d Embeddings vs. Ada 002
- OpenAI's NEW 256-d Embeddings vs. Ada 002
- OpenAI's Sora: Incredible AI Generated Video
- OpenAI's Sora: Incredible AI Generated Video