We ran about 50 steps on the CS-3. Saw nice loss and stable training curves
LLMS
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Trillion Parameter Models Demand Massive GPU Infrastructure Investment
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Trillion parameter models require terabytes of memory. Thousands of GPUs must be procured and connected just to store the model weights. It takes months to bring up a working cluster of this scale. Nvidia's own chart below:
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ChatGPT integrated into Apple Intelligence and Siri: Apple-OpenAI strategy
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#ChatGPT arrives in #AppleIntelligence and #Siri → https://youtu.be/Ks1sbFyWrNc In this video, we discuss the features and especially the (brilliant) strategy of @Apple with @OpenAI and #AI
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Llama 3.3 70B Now Available on SambaNova Cloud
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🚨 Llama 3.3 70B, now available on SambaNova Cloud! @AIatMeta
— SambaNova (@SambaNovaAI) 11 décembre 2024
✅ Context length of 64K tokens
✅ Perfect for building Agents with other models
✅ Need higher rate limits? Just ask us
Try it out 👇Llama 3.3 70B, now available on SambaNova Cloud! @AIatMeta Context length of 64K tokens Perfect for building Agents with other models Need higher rate limits? Just ask us Try it out
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MIT ContextCite tool improves chatbot answer reliability verification
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How can we really know if a chatbot is giving a reliable answer? MIT CSAIL’s "ContextCite" tool can ID the parts of external context used to generate any particular statement from a language model, improving trust by helping users easily verify the statement:
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Data Scaling Limitations in AI Model Improvement Questioned
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Shared some hot takes with @reckless on Decoder this week (not all of them AGI-related!), and one of the most important: I don't think data will be a limitation on model improvement and scaling anytime soon. Why I think we still have big gains ahead: 1. The more computation you
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Google Releases Gemini 2.0 AI Model with Agentic Capabilities
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𝗚𝗼𝗼𝗴𝗹𝗲 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝘀 𝗚𝗲𝗺𝗶𝗻𝗶 𝟮.𝟬, 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮 𝗙𝗹𝗮𝘀𝗵 𝗺𝗼𝗱𝗲𝗹 𝘁𝗵𝗮𝘁 𝘀𝘁𝗲𝗮𝗺𝗿𝗼𝗹𝗹𝘀 𝗚𝗣𝗧-𝟰𝗼 𝗮𝗻𝗱 𝗖𝗹𝗮𝘂𝗱𝗲-𝟯.𝟲 𝗦𝗼𝗻𝗻𝗲𝘁! And they start a huge effort on agentic capabilities. Performance improvements:
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Meta Llama 3.3 integration and bug fixes release
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We're also bringing in Llama 3.3 by Meta, and many bugfixes Full release note:
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IBM Watsonx Integration Guide for Flowise Platform
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To use IBM Watsonx within Flowise:
— FlowiseAI (@FlowiseAI) 11 décembre 2024
1. Create an account on Watsonx
2. Create a project, and select the model
3. Create API Key on IBM Cloud Console
4. Grab the URL, Project ID, and Model Name
Step by step guide: https://t.co/Q6VOqxzcv7
Thanks @_Eduard26 for contributions! pic.twitter.com/U8IsrHLm7kTo use IBM Watsonx within Flowise: 1. Create an account on Watsonx
2. Create a project, and select the model
3. Create API Key on IBM Cloud Console
4. Grab the URL, Project ID, and Model Name Step by step guide: https://
docs.flowiseai.com/integrations/l
angchain/chat-models/ibm-watsonx
… Thanks @_Eduard26 for contributions! -
IBM Watsonx Integration Brings Enterprise AI Agent Orchestration
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Excited to partner up with @IBM to have Watsonx integration in Flowise You can use IBM's foundational models, such as Granite, alongside other open-source models like Llama and Mistral. This marks a major step toward bringing AI Agent orchestration to enterprise settings.