Sublime
An inspiration engine for ideas
Home
cohere.ai
Introducing the Model Context Protocol (MCP)
An open standard we've been working on at Anthropic that solves a core challenge with LLM apps - connecting them to your data.
No more building custom integrations for every data source. MCP provides one protocol to connect them all: https://t.co/kYsivQyPDq
New work! Excited to continue our collaboration with ChainGPT by launching the ChainGPT Labs - newest addition to brand's product family, serving as a venture capital and incubator for the next generation of web3 startups.
I worked on UI, 3D, and WebGL.
Live site & details ↓ https://t.co/62bqOQ7pZb
RΞNNx.comI'm starting a company, Datalab:
- Task-specific models that outperform frontier LLMs and existing tools
- Examples: my projects marker and surya (25k GH stars) with task-specific arch
- Goal: Train models, open source as much as possible, do hosted inference and on-prem
Vik Paruchurix.com
AI developer platform for building LLM apps with AI Agents.
Monitor cost, manage prompt, and run evals across OpenAI, Anthropic, LangChain, Gemini & more in a few lines of code.
100% Opensource. https://t.co/bF0k2wbmer
Koheesio
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more
CI/CD
Package
Meta
Koheesio, named after the Finnish word for cohesion, is a robust Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
The framework is versatile, aiming to support multiple implementations and working sea... See more
GitHub - Nike-Inc/koheesio: Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
Today, we’re introducing Command R+: a state-of-the-art RAG-optimized LLM designed to tackle enterprise-grade workloads and speak the languages of global business.
Our R-series model family is now available on Microsoft Azure, and coming soon to additional cloud providers. https://t.co/Q8XXU8wAzu