Topic: ai
30 posts
- 🔗 Retrieval Augmented Generation in Go
- 🔗 New models and developer products announced at DevDay
- 🔗 Takeaways & lessons from 250k+ LLM calls on 100k corporate docs
- 🔗 Exclusive-OpenAI plans major updates to lure developers with lower costs -sources
- 🔗 Moravec's Paradox
- 🔗 Picking a vector database: a comparison and guide for 2023
- 🔗 End-to-End Machine Learning in Elixir
- 🔗 Changelog neural search
- 🔗 Containerized PDF Summarizer with FastAPI and Hamilton
- 🔗 spacy-llm: 🦙 Integrating LLMs into structured NLP pipelines
- 🔗 Mistral 7B in short
- 🔗 🚀 OpenAI InstructGPT 3.5 model
- 🔗 My fine-tuned Model failed, and Here's Why
- 🔗 The Point of LangChain
- 🔗 Syncing data sources to vector stores
- 🔗 Advanced NLP with SpaCy
- 🔗 Fieldnotes
- 🔗 A step-by-step tutorial to building semantic search with LangChain
- 🔗 AI bots are making CAPTCHA tech useless
- 🔗 txtai: All-in-one embeddings database
- 🔗 Why You (Probably) Don't Need to Fine-tune an LLM
- 🔗 Prompt Engineering: A Practical Example
- 🔗 Beginner's guide to Llama models
- 🔗 🗃️ Embeddings Cache 🗃️
- 🔗 Why knowledge management is foundational to AI success