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We're excited for the AI Engineer World's Fair on June 25-27.If you are attending in person or online, don't miss Santosh Kumar Radha unveil the latest innovations to boost developer productivity and democratize access to GPUs and accelerated compute with the Covalent platform.Stop by our booth at for a demo and some swag!
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🦙 Serving LLMs through API endpoints takes just a few lines of Python with Covalent. The platform hosts and orchestrates the deployment of accelerated compute for speedy GPU performance. 🚀👉 See this tutorial for serving up a Llama-based model to an interactive chatbot. Full Python code, leveraging Llama3 models from Hugging Face, Pytorch, and Streamlit, here: https://lnkd.in/e58UAqjE#ai #genai #inference #llm #llama3 Hugging Face #pytorch #huggingface Streamlit
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See AlsoPIONEER FAMILIES OF THE PRESIDIO SAN AGUSTÍN DEL …tucsonfirefoundation.com/wp-content/uploads/2012/...PIONEER FAMILIES OF THE PRESIDIO SAN AGUSTÍN DEL TUCSON Introduction In 1856 - [PDF Document]FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsSimPO: Simple Preference Optimization | Syed Hasan posted on the topic | LinkedInThe Westerosi - Mal3 - A Song of Ice and FireSee how easy it is to deploy an AI image generation service on Covalent Cloud. Serve up high-quality, photorealistic images into marketing and other application workflows, and leverage serverless GPUs for fast, scalable output.👉 See this tutorial for the Python code, using a Stable Diffusion based model RealVisXL from Hugging Face, running an Nvidia A100 GPU here: https://lnkd.in/gbXun7i4#ai #genai #inference #StabilityAI #SDXL #StableDiffusion Stability AI Hugging Face #pytorch #AIinAdvertising #CreativeAI #huggingface
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Another great collaboration with Xanadu. See how easy it is to run GPU-accelerated quantum circuit simulations at scale with PennyLane and Covalent.
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Deploying LLMs on Covalent Cloud is a breeze, so for this example, we're doing something a little different, and serving up Phi-3 and Mistral agents against one another in a war of words. ⚔️One AI agent is a tough customer, and the other AI agent is a sales rep for... AI-powered software, of course! 💬👉 See this tutorial for simulating a sales interaction using different LLMs conversing with each other. Full Python code, leveraging Phi-3-mini and Mistral-7B-instruct from Unsloth with vLLM, here: https://lnkd.in/ekz4RNB9#ai #genai #inference #llm #microsoft #Phi3 #vllm Unsloth AI Mistral AI
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Tonight's can't-miss event in Toronto is theAI TinkerersMeetup. Our very ownAra Ghukasyanwill be speaking about fine-tuning and deploying LLMs on state-of-the-art cloud hardware using nothing but Python.Details:https://lnkd.in/gXsX_--B#AI#GenerativeAI#LLM#TechEvent
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Building multi-agent AI systems?🚀 Covalent enables developers to create and easily manage multi-agent AI applications with complex agentic workflows. Dependencies are expressed as a seamless Python workflow, and each agent can be fine-tuned and deployed on their own hardware and environment based on model size and usage.👉 See this tutorial for developing a prompt refining application that uses multiple agent services dedicated to improve a specific aspect of the prompt, as well as distribute and consolidate work to/from the agents. Full Python code, leveraging Llama3 models from Unsloth and vLLM, here: https://lnkd.in/e-b4r6c8#ai #genai #inference #llm #llama3 #vllm Unsloth AI
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Today we’re excited to announce Function Serve, Covalent's new inference service! 🚀Function Serve makes it extremely simple to productionalize any AI/LLM or acceleratedcompute application with only a few additional lines of Python. Covalent handles all the underlying infrastructure for you.With Function Serve, you can:- Train, fine-tune, and serve any AI model in a single Python notebook- Create and easily manage multi-agent AI applications with complex interactions- Productionalize and scale any application or workflow that leverages accelerated computing (simulations, digital twins, scientific computing, etc.)👉 Read our blog "A simpler way to develop any AI application imaginable" https://lnkd.in/gypp2TDU🤖 Build a sophisticated multi-agent AI application entirely in Covalent, leveraging the workflow management capabilities alongside its serverless infrastructure: https://lnkd.in/ghsdqKQG💻 Deploy a Llama3 model for inference: https://lnkd.in/gGktPbiQ💎 Fine-tune LLMs w/ Covalent:https://lnkd.in/gaJiaFyt🌀 Realistic image generation using Stable Diffusionhttps://lnkd.in/gbXun7i4Sign up to Covalent today and get up to 30 free hours of GPU compute: https://lnkd.in/etsadYX6
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Attending VivaTech this week? Don't miss our presentation on Wednesday, May 22 at 9:50-10:20am, and be sure to meet us at the Canadian Pavilion S21.#Canada #ScaleAI #vivatech
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Attending PyCon US? Learn how to build an AI foundry with autonomous agents using Covalent Cloud, and deploy your next killer app with just a few lines of code.Don't miss "No Data? No Problem: Zero-Data Model Training with Foundational Models" presented by Santosh Kumar Radha and Ara Ghukasyan at 11:30am today.👉 Github repo: https://lnkd.in/essje6nvVisit booth 221 to pick up some swag!Python Software Foundation #PyConUS #PyCon #python #llm #genai
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