Agnostiq

Don't let infrastructure work slow down development and deployment of your AI applications. Covalent orchestrates infrastructure for training, fine-tuning, and inference so developers can run GPUs and CPUs directly from code. 👉 See this blog for building an AI model foundry that combines large-scale data synthesis, model fine-tuning, workflows, and LLM serving, in under an hour: https://lnkd.in/evqYnPVf 🚀 Get started with Covalent Cloud with up to 30 hours of free GPU compute today! #ai #genai #inference #llm #llama3 #vllm #finetuning #python

"What if AI (LLMs) could think and reason better autonomously, much like humans?" 🧠 In our latest work, we introduce Iteration of Thought (IoT)—a framework that allows LLMs to dynamically guide their reasoning and refine responses through complex steps as they evolve. When the 'r's in 'strawberry' stump most LLMs, IoT simply counts, thinks, and conquers. By dynamically adapting its approach with each iteration, IoT enables more thoughtful, context-aware problem-solving, pushing beyond traditional methods like Chain of Thought (CoT). You can try out IoT right now via: pip install -U multi-agent-llm You can read the full paper here ➡️ https://lnkd.in/efB6SctW

Can't-miss session at #CloudWorld! Will Cunningham will discuss optimizing #AI and #HPC infrastructure for diverse workloads, including agent orchestration and more. Also be sure stop by the AI Pavilion for a demo and some swag. #OCW details: https://lnkd.in/e4BryT9i

Looking forward to the AI Conference next week! Meet the team and learn how to develop AI applications faster and scale accelerated compute infrastructure easier with Covalent. The AI Conference details: https://aiconference.com/ #theaiconference #TAIC2024 #ai #genai

At #CloudWorld, Santosh Radha will discuss optimizing #AI and #HPC infrastructure for diverse workloads, from agent orchestration, real-time inference, model training and fine-tuning, to simulation and digital twins. Oracle #OCW details: https://lnkd.in/e4BryT9i

Agnostiq is proud to be a member of the MongoDB AI Innovators program, and Covalent was recently featured for democratizing #AI and #HPC while taking open source and cloud-agnostic approaches: https://lnkd.in/eXYbqyiH

Looking forward to two AI Tinkerers meetups in the Bay Area this week! Meet Covalent in San Francisco on August 21st at GitHub HQ, along with co-sponsors Microsoft and Neo4j. Details: https://lnkd.in/euKUSdGa And join us in Palo Alto on August 22nd at Groq HQ, along with co-sponsors Ascend and Bloomberg Beta. Details: https://lnkd.in/gRvC5uQh Thanks to Joe Heitzeberg and Paul Klein IV for organizing.

Agnostiq and MongoDB Atlas are revolutionizing research workflows! 💡 With the Covalent framework, Agnostiq is making high-performance computing both accessible and scalable across multi-cloud environments. Discover how this partnership is shaping the future of AI and HPC in our latest blog post! 👇 https://lnkd.in/dyyi3cXg

🦙 Serving AI takes just a few lines of Python with Covalent. Host and deploy open source and custom models on GPUs, without the burden of infrastructure management. 👉 See this tutorial for serving up a Llama-based model to an interactive chatbot. Full Python code, leveraging LLMs from Hugging Face and Streamlit, here: https://lnkd.in/e58UAqjE 🚀 Get started with up to 30 hours of free GPU compute today! #ai #genai #inference #llm #llama3 Hugging Face #huggingface Streamlit

Building AI agents? 🚀 Covalent enables developers to easily create multi-agent AI running on serverless GPUs/CPUs. Dependencies are expressed as a seamless Python workflow, and each agent can be fine-tuned and deployed on its own GPUs/CPUs and environment. Best of all: no infra work needed! 👉 See this tutorial for developing a prompt refining application that distributes work across multiple agent services. Full Python code, leveraging Llama3 models from Unsloth and vLLM, here: https://lnkd.in/e-b4r6c8 #ai #genai #inference #llm #llama3 #vllm