Discover how Large Language Models (LLMs) are transforming retail! From enhanced customer service to streamlined logistics, GenAI could unlock $660 billion for retailers. Our experts explore how to use advanced RAG pipelines and function calling for AI agents in retail. Delve
AGENTS
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GPT-4 All Tools: Web Browsing, DALLE3, and Autonomous Agents
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gpt-４all tools = gpt4 + web browsing + dalle3 + ada ada-v2 + voice engine + search engine + autonomous agents =
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Build Deploy Custom AI Agents RAG Without Code
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Chat with LLM to build AI Agents 🤯
— Shubham Saboo (@Saboo_Shubham_) 17 mai 2024
Build and deploy custom AI agents with RAG without writing a single line of Python Code. pic.twitter.com/HRnuxCnloYChat with LLM to build AI Agents Build and deploy custom AI agents with RAG without writing a single line of Python Code.
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Robot Battery State and Intuitive Decision Making Research
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Interesting! I also thought about robot battery state and "gut feeling" being related in my previous research.
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Building Projects and Community Impact on VC Dealflow
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smh when an LP asks how building stuff helps w dealflow… but i also realize i sound like an idiot saying “well, on twitter…. babyagi…. it’s a hobby but it helps me… and muh communiteeeee”
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Google Gemini 1.5 Pro and Flash Now Available on Poe
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You can now build prompt and server bots using Gemini 1.5 Pro and Gemini 1.5 Flash on Poe! These state-of-the-art multimodal models from Google can handle context windows up to 1 million tokens, enabling you to create highly specialized bots with long context understanding. pic.twitter.com/0pUsArgZOo
— Poe (@poe_platform) 16 mai 2024You can now build prompt and server bots using Gemini 1.5 Pro and Gemini 1.5 Flash on Poe! These state-of-the-art multimodal models from Google can handle context windows up to 1 million tokens, enabling you to create highly specialized bots with long context understanding.
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AlphaGo Tuning with Bayesian Optimization Improved Win Rate
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I agree with this thread of @avt_im
. Prior to the match with Lee Sedol, we tuned the latest AlphaGo agent with Bayesian Optimization and this improved its win-rate from 50% to 66.5% in self-play games. This tuned version was deployed in the final match. See -
Why Prefer Human-Like AI When Reality Is Computational?
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Out of interest, why do you want to feel like you’re speaking to a human when it’s a computer on the other end? Surely the Gemini experience is more reflective of reality?
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Future of Autonomous Agents Livestream
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my first livestream on @X – over 1200 joined!
— Yohei (@yoheinakajima) 16 mai 2024
"Future of Autonomous Agents"
recording is available here: https://t.co/y9FBhIkke6my first livestream on @X – over 1200 joined! "Future of Autonomous Agents" recording is available here:
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Developing AI Agents: Automation, ROI, and Enterprise Integration
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Developing AI Agents •Make agents that automate simple tasks.
•Demonstrate a quick ROI
•These agents will first serve as human assistants.
•Agents that interact with enterprise systems like Slack or Teams are favored.
•Agents interacting with internal systems, generating