Agentplex @agentplexcom
Home for Intelligent Agents Empowering Productivity agentplex.com San Francisco/Abu Dhabi/London Joined May 2024-
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In March 2024 we launched the AI Agents Global Challenge @aiagentsglobalc and today we announce the winners after a fierce competition! Congratulations to the winners and thanks to the judging panel, applicants, and all supporters!
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
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Slides from our last AI Agents London meetup> @CamelAIOrg drive.google.com/file/d/1qWDe0l…
Thank you, @aiagentsglobalc, for organizing this fantastic meetup.
Slides from our last AI Agents London meetup> @CamelAIOrg drive.google.com/file/d/1qWDe0l…
Get the latest research, tools and news on AI Agents. Subscribe free to our weekly newsletter agentplex.substack.com/p/agentplex-we…
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 aiagentschallenge.com Sign up here> meetup.com/ai-agents-lond…
👋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…
👋Come to our AI Agents 🤖London meetup We’ll have a deep dive into 2 awesome AI Agent frameworks @CamelAIOrg @guohao_li & @pyautogen @chris_noring + intro to The $1M AI Agents Challenge @aiagentsglobalc Sign up here meetup.com/ai-agents-lond…
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Join our webinar on July 11 at 11 AM MST to learn from experts Jimmy Padia (@Floatbot) and Tommy Secrist (@DAKCS_Software). Discover how #AI can boost efficiency, improve recovery rates, and enhance #CustomerEngagement. 🔗live.zoho.in/KWAucEBWtS #AIAgents #Floatbot #DAKCS
👋Come to our London meetup meetup.com/ai-agents-lond… - We’ll have a deep dive into 2 awesome AI Agent frameworks @CamelAIOrg @guohao_li & @pyautogen @chris_noring + intro to The $1M AI Agents Challenge @aiagentsglobalc
👋Come to our London meetup We’ll have a deep dive into 2 AI Agents🤖 frameworks @CamelAIOrg @guohao_li & @pyautogen @chris_noring and intro to The AI Agents Global Challenge 🚀meetup.com/ai-agents-lond…
'Adaptive #RAG' is another type of agentic RAG that can accommodate its strategies to various user query intents. Yes, It can accommodate its strategies to various user query intents: ⮕ Open-domain question-answering: Generates answers directly through LLM without relying on retrieval through RAG. ⮕ Multi-hop question-answering: Breaks multi-hop queries down to multiple single-hop queries, iteratively uses these more basic queries to access LLM and the RAG retriever, and combines the retrieved results to generate the final answer. ⮕ Adaptive retrieval: Applicable to complex queries requiring multi-step reasoning. Complex question-answering often involves synthesizing information from multiple data sources and performing multi-step reasoning. Adaptive retrieval iteratively accesses LLM and the RAG retriever to progressively build the information chain necessary for answering the complex questions. As shown in the diagram below, Adaptive-RAG follows a similar workflow to Self-RAG. By implementing an extra query analysis at the beginning of its workflow, Adaptive-RAG offers a wider range of question-answering strategies. Know more in the original article: medium.com/@infiniflowai/… --------------------------------------------------- No matter which advanced RAG strategy you use, you need to have a robust database that supports hybrid search, vector storage and much more. Use SingleStore as your vector database Try SingleStore for Free: singlestore.com/cloud-trial/?u…
Meet LISA, the AI Agent transforming claims management!🤖 LISA automates claims FNOL by 80%, ensures error-free processing, and provides 24/7 query resolution. Learn more👉: floatbot.ai/insurance-bot #AI #Insurance #Claims #Automation #FloatbotAI #LISA
A great post by the team @Octomind_dev reflecting on why they no longer use LangChain for building AI agents octomind.dev/blog/why-we-no…
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Building a multi-document ReAct agent for financial analysis 💸 Check out @pavan_mantha1's article on using @llama_index and Qdrant to create a financial analysis system. Learn to set up the environment, manage documents, and build a ReAct Agent. 👉 blog.stackademic.com/building-a-mul…
Caura @CauraAI
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lack of illusion @eugen_abc
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Jacek (Jomsborg.eth) @timelessdev
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