Paco Guzmán
@guzmanhe
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Researcher in Language Technologies
San Francisco, CA
Joined March 2009
🚀 GPT‑5 is here: deep reasoning + lightning speed. The leap toward AGI just got real. Recap + takeaways in thread.
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Go @GarrettLord
"We're unlocking opportunities by participating at the forefront of what frontier AI labs are doing." @GarrettLord, sharing the latest on Handshake AI with @mamoonha and @Joubinmir on @KPGrit. Full episode links below.
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Introducing Handshake AI—the most ambitious chapter in our story. We leverage the scale of the largest early career network to source, train, and manage domain experts who test and challenge frontier models to failure for the top AI labs.
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BREAKING: Meta's Llama 4 Maverick just hit #2 overall - becoming the 4th org to break 1400+ on Arena!🔥 Highlights: - #1 open model, surpassing DeepSeek - Tied #1 in Hard Prompts, Coding, Math, Creative Writing - Huge leap over Llama 3 405B: 1268 → 1417 - #5 under style control
Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout • 17B-active-parameter model
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Introducing our first set of Llama 4 models! We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4
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🦙 Excited to release LLAMA-3.3! 405B performance at 70B. Check it out !!
Introducing Llama 3.3 – a new 70B model that delivers the performance of our 405B model but is easier & more cost-efficient to run. By leveraging the latest advancements in post-training techniques including online preference optimization, this model improves core performance at
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Quantized Llama 3.2 1B/3B models are here! Blazing fast CPU inference at ~50 tokens/sec for 1B & ~20 tokens/sec for 3B while being competitive on quality with the respective bf16 versions. Very proud of the team. Can't wait to see what developers build with the foundation models.
We want to make it easier for more people to build with Llama — so today we’re releasing new quantized versions of Llama 3.2 1B & 3B that deliver up to 2-4x increases in inference speed and, on average, 56% reduction in model size, and 41% reduction in memory footprint. Details
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On device and small models are a really important part of the Llama herd so we are introducing quantized versions with significantly increased speed. These models have a 2-3x increased speedup – that is fastI Add a link if you want to share what you are building with Llama!
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We've just released new quantized Llama 3.2 models. the 1B is 50 tokens/s on mobile cpu. The best thing? minimal quality degradation. Read all on @sacmehtauw's post
We’ve released QUANTIZED Llama 3.2 1B/3B models. ⚡️FAST and EFFICIENT: 1B decodes at ~50 tok/s on a MOBILE PHONE CPU. ⚡️As ACCURATE as full-precision models. ⚡️Ready to CONSUME on mobile devices. Looking forward to on-device experiences these models will enable! Read more👇
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My favourite bit about the Llama 3.2 release is the small models. Both 1B and 3B despite being quite small are very capable. While there are benchmarks that prove my point, I took them on a spin for something totally different, assisted decoding. [1/N] 🧵⤵️
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Excited to share Llama 3.2! It’s beyond gratifying opening up AI to the world. We’re looking forward to seeing how the community will use these accessible, lightweight, on-device 1B and 3B models. https://t.co/Fmz4nNu1Ji
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💥 LLAMA Models: 1B IS THE NEW 8B 💥 📢 Thrilled to open-source LLAMA-1B and LLAMA-3B models today. Trained on up to 9T tokens, we break many new benchmarks with the new-family of LLAMA models. Jumping right from my PhD at Berkeley, to train these models at @AIatMeta has been an
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With today’s launch of our Llama 3.1 collection of models we’re making history with the largest and most capable open source AI model ever released. 128K context length, multilingual support, and new safety tools. Download 405B and our improved 8B & 70B here.
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The team worked really hard to make history, voila finally the Llama-3.1 herd of models...have fun with it! * open 405B, insane 70B * 128K context length, improved reasoning & coding capabilities * detailed paper https://t.co/0PNiMir9co
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Our Llama 3.1 405B is now openly available! After a year of dedicated effort, from project planning to launch reviews, we are thrilled to open-source the Llama 3 herd of models and share our findings through the paper: 🔹Llama 3.1 405B, continuously trained with a 128K context
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Finally, this happened :)
It is been a long team journey, and our NLLB work is now published in Nature. Proud of having being part of successfully scaling translation to 200 languages:
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