Due to a security incident, we strongly suggest you rotate any tokens or keys you use in secrets for HF Spaces: https://
huggingface.co/docs/hub/en/sp
aces-overview#managing-secrets
…. We have already proactively revoked a number of HF tokens and are working with cybersecurity forensic specialists to investigate the issue as
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HuggingFace Security Incident Prompts Token Rotation Recommendation
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European Defense Tech Hackathon Launches Innovation Challenge
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The European Defense Tech Hackathon
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Local-First vs Hypermedia: The spectrum between architectures
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Imho ultimately everything will either be localfirst or hypermedia if less interactive We are just in this weird stage where have to explore everything inbetween on the spectrum first. Also imho LF still needs better packaging
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AGI Job Manager Dashboard for Decentralized AI Agents
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[ AGI Job Manager Dashboard ] Post jobs and watch AGI Agents take on tasks. Validators (#AGINodes) ensure every job is top-notch. By : http://
MONTREAL.AI On Sepolia TestNet (In Development): https://
montrealai.github.io/agijobsv0.html #AGIAgent #AGINode -
SμPar Maintains Stable Hyperparameters Across Sparsity Width
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(5/n) SμPar enables optimum hyperparameters to remain stable for any combination of sparsity and width, unlike SP and μP.
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Create AI Agents Without Technical Skills for $10/Month
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Develop AI agents without being technical using English.
— Abacus.AI (@abacusai) 31 mai 2024
For $10/month, ChatLLM Teams gives you access to all LLM chatbots, generates code, and creates powerful AI agents!https://t.co/5QdaueQUqf pic.twitter.com/QA3gPLwdooDevelop AI agents without being technical using English. For $10/month, ChatLLM Teams gives you access to all LLM chatbots, generates code, and creates powerful AI agents! https://
chatllm.abacus.ai -
Daily Content Sharing on Python, Data Science, and Machine Learning
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Chat with Your Data: Summarizing PDF Files in Applications
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Step 4: Chat with your data Finally, once the data has been ingested into the app, chat with your data. Here we are asking it to summarize the pdf file.
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Uploading PDF Research Papers to Clarifai Vector Database
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Step 3: Upload the data, Here we are uploading the pdf file of a research paper. Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.
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Setting Up RAG System with Clarifai and GPT-4o Model
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Step 2: Next, import the RAG class and set up the RAG system by passing your Clarifai user ID and the GPT-4o(omni) model URL from the Clarifai community. You can find it here: https://
clarifai.com/openai/chat-co
mpletion/models/gpt-4o
… Once you sign up, you can find your user ID here: https://
clarifai.com/settings