Actually open AI.

This was a very special week for IBM. It feels like the beginning of a new era. One that we've been working on for a very long time. We showed the world our aspirations and innovation muscle by building high-quality LLMs, which we were keeping closed-source. We decided to

I just became a US citizen! 🇺🇸 It took 3,473 days! To be here in Silicon Valley, working in Tech, was my childhood dream. When we flew into O'Hare from Barcelona in 2014 to join the IBM SPSS team in Chicago, we didn't think we'd be here for so long. This journey has taught us

LLMs, SLMs, NLP, Embeddings, Vector Databases, Tokens, LLMOps, LVMs, RAG, GPUs, GPTs, FMs, LMM, GAN, Fine-Tuning, LoRa, Prompts, Alignment... Are you feeling lost trying to understand all these AI terms? I've created a 15-day course to help you know all the core concepts of

Forget Chatbots: AI Agents Are the Future AI agents are set to transform how we work by performing tasks typically done by skilled professionals. Unlike chatbots that generate one output, these agents plan, write, test, and implement solutions, showcasing advanced

Excited to speak at the Gen AI Summit in San Francisco in a few days! Thanks for the invitation GenAI Summit

🔥 Hot of the press! We just announced a new strategic partnership with Mistral AI We are very excited to announce a collaboration with the leading French AI startup Mistral AI. In addition to the open-source models we have already shipped, we will bring to the watsonx

"predicting the next token well, means that you understand the underlying reality that let to the creation of that token" thoughts?

Armand Ruiz, VP of Product - AI Platform, at IBM, is taking the stage at GenAISummit SF 2024! He gives a nice speech on: How To Shape the Future of Enterprise using GenAI armand @ibm #genaisummit #genaisummitsf2024

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Huge announcement from Meta. Welcome Llama 3.1! This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes (text