Chai Discovery — a startup working on AI engineering for molecules — has raised $130 million from investors including Oak HC/FT, General Catalyst, Thrive Capital, Menlo Ventures and OpenAI https://t.co/bx6VCpGXra ...

Today, we're excited to launch Langmith Poly, an AI assistant for AI engineering. Poly is an AI assistant that lives inside Langmith and helps you do AI engineering. There's three specific places that we've introduced Poly into for this beta launch. The first place we've introduced Poly into is within the thread page.So if we go to a tracing project in this case one for chat lang chain our support application and we go to threads this is a list of all the different conversations that have happened and so yo ...

AI Agents and Workflows Debate - The industry is currently engaged in a debate regarding the roles and effectiveness of AI agents versus workflows, sparked by differing viewpoints from Anthropic and OpenAI [1][2][3][4] - The industry should avoid dogmatic approaches, recognizing that there isn't one single "right" way to develop AI systems [5][6][7][8] - The industry should be cautious of overly complex APIs (like those relying heavily on graph theory), as they can hinder readability and team collaboration [9][10][11][12][13] Design Patterns for AI Systems - The industry needs a commonly accepted vocabulary and glossary for agentic patterns and agentic workflow patterns [14][15] - Agents can be viewed as turn-based systems, while workflows are akin to rules engines managing dependencies [16][17][18] - Workflows are gaining popularity in AI engineering due to the need to trace and manage non-determinism, which is more critical in AI than in traditional software engineering [19][20] - Balancing power and control is a key trade-off in designing AI systems; starting with powerful models and adding control where needed is a viable strategy [21][22] Composition and Implementation - Agents and workflows can be combined in various ways: agents can be steps in workflows, workflows can be tools for agents, and so on [23][24][25] - The agent supervisor model involves an orchestrator agent calling other agents as tools [25] - Dynamic tool injection, where agents are given a limited and relevant set of tools for a specific task, can improve performance [26] - Nested workflows, where a workflow is a step within another workflow, are also valuable [26][27] - Practical experience and community knowledge are currently more valuable than theoretical correctness in this rapidly evolving field [28][29]

[Music] All right. Hey everyone. Uh, my name is Sharief. I'll be talking to you about demos and why I think demos are probably the most important thing in the world right now. Um, I'm the founder of Lexica. We're working on generative models, specifically image models. Um, but I kind of want to just talk to you about something a bit more than just models themselves. Um, even more than demos. I kind of just want to talk to you about curiosity. Um, there was a famous French mathematician Poare. He said at the ...

10 GitHub repos that will set you up for a career in AI engineering (100% free): ...