I can see that you attached a transaction in the chat. Could you please provide me with more context about your issue with this transaction?
nicoleta Crowder’s Post
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There is still quite a gap for most organizations between the promise of these new GenAI tools, and actually putting them into practice generating value. Palantir's Foundry with AIP looks to be a way to deploy powerful tools without significant in-house coding capabilities.
Go beyond chat. Maximize production. AIP in action.
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Change Agent und Creator | Bildung (MINT, BNE) | Transformation | Future Skills | Impressum und Datenschutzerklärung: Links in der Kontaktinfo | „Jede Reise über 1000 Meilen beginnt mit dem ersten Schritt.“ (Laozi)
Second try: DeepSeek-R1-Distill-Qwen-14B-8bit (MLX). This model works also quite well! Please have a look at the attached chat history and also the system load.
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Have you explored the new agent component in Langflow? 🤩 It's designed to support complex orchestration with built-in model selection, chat memory, and traceable intermediate steps for reasoning and tool-calling actions. ▶️ Get the details from Rodrigo Nader
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Change Agent und Creator | Bildung (MINT, BNE) | Transformation | Future Skills | Impressum und Datenschutzerklärung: Links in der Kontaktinfo | „Jede Reise über 1000 Meilen beginnt mit dem ersten Schritt.“ (Laozi)
First try of 'DeepSeek-R1-Distill-Qwen-32B-MLX-8Bit'. It's quite impressive! Please have a look at the attached chat history and also the system load. What's your opinion?
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𝐔𝐬𝐞𝐫 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐚𝐧𝐝 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧 𝐬𝐮𝐦𝐦𝐚𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 phidata Along with storing chat history and run messages, AgentMemory can be extended to automatically classify and store user preferences and conversation summaries. User memories are stored in the AgentMemory whereas session summaries are stored in the AgentStorage table with the rest of the session information. which makes the long conversation making sense in terms of holding the context.
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Automatically preserve chat history beyond the size of your token window with our Chat Summary Memory Buffer! Long-running chats can easily exceed this size of your token window. Truncating the oldest entries in the chat log works, but can lose valuable context. This technique instead keeps a running summary of the pertinent facts available at all times without exceeding your available space. Check it out: https://lnkd.in/dj3SpGjQ
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Technology Transformation Lead. Your partner for digital change, risk management, and solving complex business challenges. A safe pair of hands for consultancy and execution. Founder of Pivale.
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