Carlos @alg0agent
AI / ML Developer Advocate | Research 👨💻 Data Machina AI newsletter | Community 🤗 Data Science London datamachina.substack.com London Joined January 2012-
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Carlos retweeted
Are you building AI Agents? Submit an application to the AI Agents Global Challenge. $1M pool prize, and a chance to get funding from world-class startup investors aiagentschallenge.com
Interested in AI Agents? Subscribe free to our newsletter to get the latest research, repos, tools & news on AI Agents agentplex.substack.com/p/agentplex-we…
Slides from the AI Agents London meetup - Camel AI @CamelAIOrg Collaborative Agents Framework drive.google.com/file/d/1qWDe0l…
Slides from the AI Agents London meetup - AutoGen @pyautogen Multi-Agent Framework drive.google.com/file/d/1v3SC5c…
Carlos retweeted
Open. Source. WINS. The results are here: LLaMA 3.1 405b is phenomenal. We now have a SOTA open-source model thanks to @AIatMeta . Here's my full test of the model:
Carlos retweeted
Llama 3.1 performing multi-step planning, reasoning, and tool calling. This is without an agent framework!
Carlos retweeted
🏗️Build application specific cognitive architectures, not generic agent infrastructure A custom cognitive architecture will absolutely make your application differentiated, while the generic agent infrastructure is less likely to What's the difference? blog.langchain.dev/why-you-should…
Carlos retweeted
Project IDX just got a ton of upgrades. Seriously, a ton. React Native in-browser, AI for comments/tests, database templates, AI agent & Gemini templates. Oh and Android Studio in-browser is coming soon. Here's a rundown.
Carlos retweeted
🐒🐒Tribe AI ✨ Low code tool to rapidly build and coordinate multi-agent teams ✨ Lot's of folks have been asking for a low-code builder for multi-agent LangGraph applications This open source project does exactly that! Code: github.com/StreetLamb/tri…
Carlos retweeted
The one-step trap (in AI research) The one-step trap is the common mistake of thinking that all or most of an AI agent’s learned predictions can be one-step ones, with all longer-term predictions generated as needed by iterating the one-step predictions. The most important…
Carlos retweeted
⚗️ System 2 prompts: Four techniques to enhance LLM reasoning The "Distilling System 2 into System 1" paper (arxiv.org/html/2407.0602…) looks like Llama 3 Instruct's dataset recipe (note how they only mention Llama 2). The authors build a dataset of complex reasoning tasks with…
Come to our AI Agents London meetup We’ll have a deep dive into two awesome agents frameworks @CamelAIOrg & @pyautogen + intro to The $1M AI Agents Challenge. Sign up here> meetup.com/ai-agents-lond…
Image Self Supervised Learning (SSL) on a Shoestring theadamcolton.github.io/image-ssl-on-a…
My finetuned models beat OpenAI’s GPT-4 mlops.systems/posts/2024-07-…
[free ebook] Understanding Deep Learning, 2/07/24 (+68 notebooks) udlbook.github.io/udlbook/
Carlos retweeted
📣 I am happy to announce that @weights_biases Weave is now integrated with DSPy. 🧶 Weave will automatically capture traces for DSPy. To start tracking, call `weave.init()` and use the library as normal. 👉 Learn more at wandb.github.io/weave/guides/i…
👋Come to our AI Agents 🤖London meetup We’ll have a deep dive into 2 awesome AI Agent frameworks @CamelAIOrg & @pyautogen + intro to The $1M AI Agents Challenge - Sign up here meetup.com/ai-agents-lond…
Building “Auto-Analyst” — A data analytics AI agentic system with DSPy medium.com/firebird-techn…
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