AI runs faster on GPUs, so here's the simplest way to develop, deploy, and scale AI: serverless, on-demand, and entirely in Python. 👉 Check out this tutorial for a fine-tuning and validation workflow using PEFT and LoRA. Employ the appropriate GPU/CPU for each task, and

Agents take over New York City tomorrow at the AI Tinkerers event. Look forward to discussing AI agents, agentic workflows, and serverless GPU infrastructure. RVSP: nyc.aitinkerers.org/p/agent-takeov… Shout out to organizers and collaborators at AI Tinkerers , CrewAI , and Betaworks !

Q2B Tokyo starts on Wednesday! Don't miss the Quantum & HPC panel featuring Ryousei Takano, Elica Kyoseva, Yuval Boger, and Oktay Goktas on July 24 at 5:30pm. Thanks to QC Ware for organizing #Q2B24TOKYO .

Attending #Q2B24Tokyo? Will Cunningham, Head of Quantum & HPC at Agnostiq, will discuss how the convergence of #AI, #quantum computing, and high-performance GPUs is ushering a transformative era in application development and deployment. Learn more: q2b.qcware.com/session/presen…

⚛️ Run simulations, scientific compute, and AI on cloud GPUs & CPUs - using only Python, no infra knowledge needed. 💥 Learn how to scale simulations and compute-intensive calculations to thousands of cores in the cloud, from a single-core in a notebook: covalent.xyz/computational-…

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

🦙 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

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

Looking forward to two AI Tinkerers meetups in the Bay Area this week! Join us in San Francisco on August 21st at GitHub HQ, along with co-sponsors Microsoft and Neo4j. Details: sf.aitinkerers.org/p/ai-tinkerers… And meet us in Palo Alto on August 22nd at Groq Inc HQ, along with

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: mongodb.com/blog/post/agno…

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 digital twins and simulation. #OCW details: reg.rf.oracle.com/flow/oracle/oc… See you at @CloudWorld

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

New speaker for this 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 @CloudWorld for a demo and some swag. #OCW details:

✨ Deploying a generative AI app running serverless GPUs is simple with Covalent. Whether you're using your cloud or ours, you'll save time and effort orchestrating and scaling the infrastructure. 👉 See how to deploy an image generation app using a #StableDiffusion model

Iteration of Thought Proposes the Iteration of Thought (IoT) framework to enhance the LLM responses and reasoning capabilities with adaptive reasoning paths. It leverages an inner dialogue agent, acting as a guide, to dynamically adjust reasoning paths which allows adaptive

"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

⭐️ New Research Alert! ⭐️ Intelligent systems thrive on continuous growth. Introducing Composite Learning Units (CLUs), a multi-agent system that uses active inference to continuously refine understanding, uncover complex patterns, and adapt with every interaction. CLUs offer an