No I don't, and it's something I really need – I want to add chunking features to my LLM CLI tool and library but I can't find reliable information on what strategies are important to support
CODE
-
A/B Testing Risks on Developer Platforms Raise Reliability Concerns
By
–
I'm suspicious enough of A/B testing as an end-user, the idea that a developer playform I'm trying to build software on might be running A/B tests that affect my applications is horrifying
-
OpenAI Chunking Strategy for RAG Implementation Details
By
–
I'm begging you @OpenAIDevs
, please tell us how your chunking works! It's a small detail, but it makes a huge difference in helping me make decisions about how to effectively use your RAG implement -
Finding SSH Terminal Environment for Hands-On Experimentation
By
–
Specifically looking for something I can SSH into and mess around in a terminal for a bit
-
Fine-tuning Strategy: Sequential Layer Training Approach
By
–
Has anyone tried fine-tuning half of the layers in one run, and then the other half in another? cc @teknium @winglian @erhartford
-
OAuth OpenAI Integration for Billing and Prompt Execution
By
–
This is for me being bills and knowing how much to charge them later A separate thing I'd love is the ability to oauth against their OpenAI account to gain the ability to run prompts on their behalf
-
Assistants API Updates: Expanded File Support and Better Control
By
–
Launching a series of updates to the Assistants API—now with support for up to 10,000 files for knowledge retrieval and more precise tool and token control. Excited to see what you build!
-
Optimize Multiple LLM Calls by Mixing Models for Lower Latency
By
–
Most LLM apps and AI Agents need multiple calls to an LLM, especially a moderately complex LLM app/AI agent. Calling GPT-4 or Claude is impractical and you will soon be in high-latency hell. The optimal way to do this is to mix and match LLMs depending on the latency,
-
LangSmith Evaluations: Unit Tests for LLM Development
By
–
LangSmith Evaluations: Unit Tests
— LangChain (@LangChain) 17 avril 2024
Evaluations can accelerate LLM app development, but it can be challenging to get started. We've kicked off a new video series focused on evaluations in LangSmith.
This is the 10th video in our series that shows how to incorporate unit… pic.twitter.com/nSd8CiuAdRLangSmith Evaluations: Unit Tests Evaluations can accelerate LLM app development, but it can be challenging to get started. We've kicked off a new video series focused on evaluations in LangSmith. This is the 10th video in our series that shows how to incorporate unit
-
RAG Fundamentals Tutorial Free on FreeCodeCamp
By
–
RAG From Scratch on FreeCodeCamp We recently released a playlist of videos that explain RAG fundamentals and highlights over a dozen advanced RAG papers / methods. This tutorial is now free on @freeCodeCamp
! Thanks @beaucarnes and team. Video: https://
youtube.com/watch?v=sVcwVQ
RHIc8
…