LangChain v0.1.0 Highlight: Integrations With nearly 700 integrations, LangChain makes it easy to get started no matter your tech stack As part of v0.1.0, we've made some changes to the package architecture to make our partnerships more stable and production ready We
OPEN SOURCE
-
LangGraph Enables Streaming for Language Agent Construction
By
–
Streaming with LangGraph Yesterday, we introduced LangGraph as way to construct language agents as graphs Because this is built on LangChain, it comes with the ability to stream intermediate steps as well as tokens Check it out: https://
github.com/langchain-ai/l
anggraph
… -
LangChain v0.1.0 Launches with LangSmith Observability Features
By
–
LangChain v0.1.0 Highlight: Observability free LangSmith access code for first 500 redemptions, read below When building complex LLM applications, you're application logic now contains a non-deterministic model at the center of it, often heavily controlling the flow of
-
LlamaIndex: Open-Source Framework for Data-Intensive Applications
By
–
@llama_index is optimal for data-intensive apps, excelling in advanced data handling and retrieval. It's an evolving open-source framework ideal for complex datasets.
-
Building Custom LLMs: Tools for IP Control and Customization
By
–
Creating your LLM allows for ultimate customization and learning, ideal for tech-savvy individuals aiming to control their IP. Tools like Buster (
https://
github.com/jerpint/buster) enable the integration of complex features to meet specific needs. -
Moving Object Detection with OpenCV and Classical Computer Vision
By
–
🚀 Blog-tastic Tuesdays 🚀https://t.co/Dgk1190P30
— Satya Mallick (@LearnOpenCV) 9 janvier 2024
Here’s a fun read for you guys! In our latest blog post, we analyze a combination of contour detection and background subtraction to detect moving objects using OpenCV and classical Computer Vision.#AI #opencv #learnopencv… pic.twitter.com/XvLrO4rf0pBlog-tastic Tuesdays https://
learnopencv.com/moving-object-
detection-with-opencv/
… Here’s a fun read for you guys! In our latest blog post, we analyze a combination of contour detection and background subtraction to detect moving objects using OpenCV and classical Computer Vision. #AI #opencv #learnopencv -
Machine Learning Community Blog Posts Released on Hugging Face
By
–
The weather is officially rainy with community blogs! Read a variation of machine learning blog posts released yesterday and today at https://
huggingface.co/blog/community -
Tamil-Llama: New LLaMA-Based Language Model for Tamil
By
–
Abhinand Balachandran has unveiled "Tamil-Llama," an LLM based on the LLaMA model, with a specific focus on the Tamil language. Key highlights:
✦ This model is built upon the LLaMA model, incorporating additional Tamil tokens and leveraging the LoRA methodology for efficient -
LangChain v0.1.0 YouTube Series: Seven Components Tutorial
By
–
LangChain v0.1.0 YouTube Series We released a series of videos walking through the seven main components of our new v0.1.0 release We also added notebooks (in both Python and JS) for a hands-on coding experience for all of them YouTube playlist: https://
youtube.com/playlist?list=
PLfaIDFEXuae0gBSJ9T0w7cu7iJZbH3T31
… -
Local Models Quickstart: Running OSS Models in Chains
By
–
Local Model Quickstart One big point of feedback we've gotten is people want more documentation for how to use local models in chains As part of v0.1.0 we've updated our getting started to now highlight running OSS models! We also have a section on RAG with local models,