JavaScript client library for managing your LLM data in one place
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Updated
May 3, 2023 - JavaScript
JavaScript client library for managing your LLM data in one place
Filling in the missing gaps with langchain, and creating OO wrappers to simplify some workloads.
Langchain-Braintune Integration: A guide to help Python developers integrate the Braintune platform with the Langchain framework for building powerful, language model-driven applications. Includes step-by-step tutorials and examples.
Lightweight framework to evaluate LLMs using model scoring
A list of almost all LMs (large model),include LLMs
A list of almost all LMs (large model),include LLMs
A set of serverless functions designed to assist in the monitoring of inputs to language models, including routine and specific inspection of the message queue, as well as event-driven triggering of more complex metric calculation based on (what will eventually be) configurable environment variables; alongside a suite of other tools/functions
A serverless set of functions for evaluating whether incoming messages to an LLM system seem to contain instances of prompt injection; uses cascading cosine similarity and ROUGLE-L calculation against known good and bad prompts
One-click Docker APPs of Open-source Code Interpreter Projects.
Effortlessly Deploy and Serve Large Language Models in the Cloud as an API Endpoint for Inference
GPT Paper Reader on Streamlit
Optimal Chunk Size for Large Document Summarization
Prompt Engineering and Dev-Ops toolkit for applications powered by Language Models
The Best Open Source LLM Code Interpreter
Beginner-friendly serverless LLM deployment with Replicate & fly.io
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