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Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51’s

Whether you’re a student, researcher, practitioner, or just getting started with AI, join our Generative AI study group and explore new AI tools and frameworks, share the errors and bottlenecks you’ve encountered in your projects, learn tips and tricks from data and AI leaders,

Explore self-rewarding LLMs, discuss reinforcement fine-tuning (RFT) techniques, dig into effective RL frameworks, and more in our Generative AI study group! If you haven’t registered yet, head over to twimlai.com/community/ and meet us tomorrow at 8 am PT.

Join this week’s session of our Generative AI study group in 1 hour! Share tips on building and evaluating agentic reasoning applications, discuss Chain-of-Thought (CoT) reasoning, explore memory optimization techniques in ML applications, and more. See you there!

Today, we're joined by Ben Wellington, deputy head of feature forecasting at Two Sigma. We dig into the team’s end-to-end approach to leveraging AI in equities feature forecasting, covering how they identify and create features, collect and quantify historical data, and build

Join the conversation every Friday at 8 am PT in our Generative AI study group and discuss prompt management platforms, share guides on building a RAG-powered chatbot, explore long-term memory on AI agents, and more! Don’t miss out—register at twimlai.com/community/ and we’ll

Explore the advantages and disadvantages of vision-language-action models (VLA-Ms), discuss reward hacking in reinforcement learning, share post-training techniques to improve LLM reasoning, and more! Register at twimlai.com/community/ and join tomorrow’s meetup at 8 am PT.

1️hour left before this week’s Generative AI study group meetup starts! If you haven’t registered yet, head over now to twimlai.com/community/ and watch for an email of our Slack registration details. Don’t forget to join the #generative-ai Slack channel. See you there!

Are we crazy to replace reliable, deterministic APIs with noisy, probabilistic agents? 🤯 In our latest episode, Vijoy Pandey of Outshift by Cisco argues it's a necessary pain & introduces the "deterministic sandwich" 🥪 — a pragmatic way for enterprises to tame AI chaos until they're

Humans are inherently probabilistic and thrive on chaos that sparks creativity and smarter decisions. Vijoy Pandey from @OutshiftbyCisco explains the "deterministic sandwich" framework and makes the case for agents to embrace their creative and probabilistic nature and move towards

Join our community of researchers, engineers, and enthusiasts and break down the latest generative AI tools and research, discuss challenges and solutions for generative infrastructure, exchange cheat sheets, and more! Sign up at twimlai.com/community/ and join our Generative AI

Tomorrow at 8 am PT, join our Generative AI study group and share insights on the role of vector databases in LLM-powered applications, discuss best practices for building agent workflows, swap ideas on prompt storage methods, and more! Head over to twimlai.com/community/ to

The agent protocol wars are raging: A2A vs MCP vs ACP (vs ACP!) vs... 🔥 But what if this battle just "doesn't make sense"? In this clip from the latest The TWIML AI Podcast ep, Vijoy Pandey of @OutshiftbyCisco makes a provocative plea for convergence, arguing that at the end of the day, "it's

1 hour left before this week’s meetup of our Generative AI study group starts! If you haven’t registered yet, head over now to twimlai.com/community/ and check your email for Slack registration details. Remember to join the #generative-ai Slack channel!

Four requirements for agentic collaboration by Vijoy Pandey: Discovery, Composability, Deployment, and Evaluation Ensure your agents are validated, well-integrated, efficiently deployed, and constantly evaluated. Essential steps for optimizing the agentic landscape! AGNTCY

How do you get AI agents to work together seamlessly? Vijoy Pandey from @OutshiftbyCisco outlines the four requirements of agent-to-agent collaboration—discovery & identity, workflow composability, deployment, and observability & evaluation. Gain insights into how these steps ensure AI

Do you have an interesting LLM project to share? Share it in our Generative AI study group! Join our TWIML community members who share the same passion for generative AI and meet us every Friday at 8 am PT. Sign up at twimlai.com/community/ and see you there!

Make it to tomorrow’s session of our Generative AI study group by registering at twimlai.com/community and discuss deep research tools, explore vision-language-action (VLA) pipelines, share strategies for effective unsupervised reinforcement learning, and more! The meeting

Get ready to join our Generative AI study group in 1 hour! Share techniques for grounding LLMs, exchange tips on managing prompt libraries, participate in the RAG chatbot project, and more! The conversations are informal and you're welcome to join at any time during the session.