ActionLayer @ActionLayer
The First Action Layer for Autonomous Agent 🔗https://t.co/k8FIVLDV75 actionlayer.ai San Francisco, CA Joined April 2024-
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The era of Action has arrived. Stay tuned, more is coming..... #Ai#action#agent
The era of Action has arrived. Stay tuned, more is coming..... #Ai#action#agent
The industry is moving from "AI-copilots" to "AI-Agents". @ActionLayer believes data annotation plays a crucial role in the development and performance of AI agents. Enabling Machine Understanding: Data annotation provides context and meaning to raw data, allowing AI models to…
The industry is moving from "AI-copilots" to "AI-Agents". @ActionLayer believes data annotation plays a crucial role in the development and performance of AI agents. Enabling Machine Understanding: Data annotation provides context and meaning to raw data, allowing AI models to…
The Sam Altman Interview You know him as the CEO of OpenAI — but he's also an avid writer. We spoke not once but twice about how Sam captures ideas, clarifies his thinking, edits his writing, decides what to work on, and uses ChatGPT. Timestamps: 1:47 Will LLMs change how we…
🎮 We're helping shape the future of gaming through our partnership with @solanalabs! At the center of this collaboration is Gameshift, which provides the full slate of Web3 primitives and actions that games require. Learn more → goo.gle/4gACo0f
How can #robots remember? 🤖 💭 For robots to understand and respond to questions that require complex multi-step reasoning in scenarios over long periods of time, we built ReMEmbR, a retrieval-augmented memory for embodied robots. 👀 Technical deep dive from #NVIDIAResearch…
Transformer by hand✍️ Excel ~ I designed this exercise to show the core math of a Transformer model is to combine columns (attention), combine rows (feed forward), and repeat.👇Join the 'AI Math' community. 👇Download xlsx.
Convolution Neural Network Cheat Sheet
We’re excited to announce that IntentAGI is now ActionLayer! This new name better reflects our vision moving forward.🎉 Check out our updated channels:👇 linktr.ee/actionlayer Thanks for your support! 🌟Stay tuned for more updates!🌟
Can LLMs learn to "phone a friend?" 🧵 MIT CSAIL’s new "Co-LLM" algorithm can pair a general-purpose base LLM w/a more specialized model & help them work together. It reviews each token & sees where it needs to call upon an expert, leading to more accurate & efficient replies to…
Agents in Software Engineering Provides a comprehensive overview of frameworks of LLM-based agents in software engineering. arxiv.org/abs/2409.09030
How does OpenAI train the Strawberry🍓 (o1) model to spend more time thinking? I read the report. The report is mostly about 𝘸𝘩𝘢𝘵 impressive benchmark results they got. But in term of the 𝘩𝘰𝘸, the report only offers one sentence: "Through reinforcement learning, o1…
How to be part of the Decentralized AGI Ecosystem with @IntentAGI #ai #aigc #web3 #intentagi #decentralizedfinance #actionlayer
Product, product, product！
Today would have been the 83rd birthday of Dennis Ritchie, inventor of C and co-creator of Unix: zd.net/2creeZi (Image v/@SanderFocus, article v/@jperlow & @ZDNET)
Why is decentralization a necessary step for agents to achieve AGI? "For example, even though Google owns the Chrome browser and has access to the most comprehensive web-based temporal action sequence data, lacking annotations for tasks, processes, and reasoning, Gemini cannot…
Protect your swaps from sandwich attacks. 🛡️ You can now safeguard your swap transactions on Jupiter with one click. By turning on ‘MEV Protect’, your transactions will be sent directly to a @jito_labs validator, reducing the chances of your transactions getting frontrun.…
LLMs struggle with fine-grained in-line citations in long-context scenarios. This is a really useful capability but current long-context LLMs don't do so well on fine-grained in-line citations. This new work synthesizes a large-scale SFT dataset with off-the-shelf LLMs to…
76-page survey paper on Prompting Techniques ✨ Explores structured understanding and taxonomy of 58 text-only prompting techniques, and 40 techniques for other modalities. 📌 The paper focuses on discrete prefix prompts rather than cloze prompts, because prefix prompts are…
Noisy information is not always bad for RAG systems. Well, it depends on what kind of noise. Finally, there is a benchmark (NoiserBench) to measure how different kinds of noisy information affect RAG's performance. It's interesting that out of the different kinds of beneficial…
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