Dustin Tran @dustinvtran
Research Scientist at Google DeepMind. I lead evaluation at Gemini / Bard. AI, Bayesian statistics, deep learning. dustintran.com San Francisco, CA Joined June 2013-
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First Gemini 1.0 Pro surprised everyone at #2, better than any model of its class and even most bigger models. Now Gemini 1.5 Pro does it again🔥
First Gemini 1.0 Pro surprised everyone at #2, better than any model of its class and even most bigger models. Now Gemini 1.5 Pro does it again🔥
Inspired by several innovative Gemini Pro 1.5 demos 🔥, I'm sharing my favorites to highlight their creativity ✨. This thread aims to curate these intriguing examples and encourage people to explore unknown territories 🚀. Text 1. Space: a. Apollo 11 transcript interaction:…
Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there’s this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 🤯10M 🤯 tokens for text. From…
Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there’s this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 🤯10M 🤯 tokens for text. From… https://t.co/YF1AGQxvQ9
Gemini Advanced is out. Proud of the team’s accomplishment! We also updated our technical report to cover the new post-trained Gemini models, and Gemini Advanced is a significant leap from Gemini with Pro. Try Gemini Advanced, the results may surprise you.
Gemini Advanced is out. Proud of the team’s accomplishment! We also updated our technical report to cover the new post-trained Gemini models, and Gemini Advanced is a significant leap from Gemini with Pro. Try Gemini Advanced, the results may surprise you.
So exciting to see third party evaluation results on Bard! (free tier available today) Let’s just say its performance has been greatly underestimated.🤐
So exciting to see third party evaluation results on Bard! (free tier available today) Let’s just say its performance has been greatly underestimated.🤐
Introducing Gemini 1.0, our most capable and general AI model yet. Built natively to be multimodal, it’s the first step in our Gemini-era of models. Gemini is optimized in three sizes - Ultra, Pro, and Nano Gemini Ultra’s performance exceeds current state-of-the-art results on…
The experiments here seem opposite to me. You're stating human evals are invalid by referring to results on... academic benchmarks of 5-shot MMLU, HumanEval (coding unit tests), and NaturalQuestions?
The experiments here seem opposite to me. You're stating human evals are invalid by referring to results on... academic benchmarks of 5-shot MMLU, HumanEval (coding unit tests), and NaturalQuestions?
The phenomenal teams from Google Research’s Brain and @DeepMind have made many of the seminal research advances that underpin modern AI, from Deep RL to Transformers. Now we’re joining forces as a single unit, Google DeepMind, which I’m thrilled to lead! dpmd.ai/announcing-goo…
Great to have @60Minutes on campus to check out some of the AI technologies across @Google and @DeepMind that will power the next generation of our products, and the bold + responsible approach we're taking with AI. cbsnews.com/news/google-ar…
Bard now has patch notes, and with better math and logic reasoning engadget.com/google-bards-n…
Men will literally propose air strikes instead of engaging with existing debates about AI regulation
Learn about ViT-22B, the result of our latest work on scaling vision transformers to create the largest dense vision model. With improvements to both the stability and efficiency of training, ViT-22B advances the state of the art on many vision tasks → ai.googleblog.com/2023/03/scalin…
This call has valid concerns but is logistically impossible. It's hard to take seriously futureoflife.org/open-letter/pa…
Pushing on this take even more: human eval is here to stay. Yet there is so little research on this topic. Real-world prompt sets, rater instructions, metrics, platforms & infra, the list goes on.
Pushing on this take even more: human eval is here to stay. Yet there is so little research on this topic. Real-world prompt sets, rater instructions, metrics, platforms & infra, the list goes on.
Amazing that the only way to access the best text2image model today is Discord
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314 Followers 263 Following Engineer at Google, Working on Language Models. Snowboarding and traveling when not workingMore exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
Congrats @GoogleDeepMind on shipping Gemini 1.5 Pro to public review! Upon capacity & latency testing, we have now brought Gemini 1.5 Pro up to the Arena🤖 Big improvement from Pro 1.0 to 1.5 across the board, and exceptionally strong long context understanding. Come test and…
8 years later, I'm still having nightmares about failing grad school—unable to find an internship, unable to publish. So relieved this morning waking up to the universe that I've already graduated, got a job and everything. But, is the dream me still stuck in the hell universe?
We're starting to roll out API support for Gemini 1.5 Pro for developers. We're excited to see what you build with the 1M token context window! We'll be onboarding people to the API slowly at first, and then we'll ramp it up. In the meantime, developers can try out Gemini 1.5…
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long…
Long overdue but here's a new blogpost on training LLMs in the wilderness from the ground up 😄🧐 In this blog post, I discuss: 1. Experiences in procuring compute & variance in different compute providers. Our biggest finding/surprise is that variance is super high and it's…
Inspired by several innovative Gemini Pro 1.5 demos 🔥, I'm sharing my favorites to highlight their creativity ✨. This thread aims to curate these intriguing examples and encourage people to explore unknown territories 🚀. Text 1. Space: a. Apollo 11 transcript interaction:…
medium.com/@NoamShazeer/s… Check out my first blog post.
I'd like to see some research on where the political and moral ideologies of RLHF'd language models come from. Make some questionairres that measure a model's ideology. Create a variety of models with few-shot prompting, SFT, and RL; look at the ideology at each stage and how it…
Gemini Pro 1.5 with 1M token window vs. Claude 2.1 with 100k vs. OpenAI GPT-4 with RAG I uploaded the Great Gatsby with 2 alterations (mentioning an "iphone-in-a-box" and a laser lawnmower) Gemini nails it (& finds one more thing). Claude does but hallucinates. RAG doesn't work
Building Gemma together with an exceptional team has been a delight, and now we're thrilled to share it with the world. A huge congrats to the entire team! Special thanks to Kathleen & Alek, @triswarkentin, @armandjoulin, @clmt – you are all amazing :)
We have a long history of supporting responsible open source & science, which can drive rapid research progress, so we’re proud to release Gemma: a set of lightweight open models, best-in-class for their size, inspired by the same tech used for Gemini blog.google/technology/dev…
Today we released Gemma, our latest open models. 2B and 7B, best in class. You'll find them anywhere, try them on HF huggingface.co/chat?model=goo…. Want to congratulate our amazing team that made it possible, building on everything Gemini has built. Special congrats to…
We have a long history of supporting responsible open source & science, which can drive rapid research progress, so we’re proud to release Gemma: a set of lightweight open models, best-in-class for their size, inspired by the same tech used for Gemini blog.google/technology/dev…
You know what's my favourite part with our Gemma release? That we do not misuse the term "open source" like other labs have. It was explicit in the comms briefing that we should call them "open models" and not "open source models". Much respect to the team.
Gemini 1.5 Pro's 1,000,000+ token context length is incredible. I got early access and spent my Saturday night running tests. Here are 6 impressive capabilities I found:
As one example of 1.5 Pro’s sophisticated multimodal understanding and reasoning capabilities with long context, when given a 44-minute silent film, the model can analyze various plot points and events, and even makes sense of small details you might have missed.
10,000,000 tokens achieved internally! 🚢 🚢 🚢
Gemini 1.5 has arrived. Pro 1.5 with 1M tokens available as an experimental feature via AI Studio and Vertex AI in private preview. Then there’s this: In our research, we tested Gemini 1.5 on up to 2M tokens for audio, 2.8M tokens for video, and 🤯10M 🤯 tokens for text. From…
Finding Gemini especially useful for stepping through niche tasks. Here I'm deep in the weeds of some bike mechanic work. I prefer it to watching how-to videos (less personalized) or reading a bunch of separate web pages / manuals.
We just crossed 100M Google One subscribers! Looking forward to building on that momentum with our new AI Premium Plan (launched yesterday) offering AI features like Gemini Advanced, plus Gemini in Gmail, Docs + more coming soon. one.google.com/about
It seems like I’ve become a meta influencer: I influence the influencers. Kinda weird. But it’s good: now everybody knows how to scale lr with batch size and the work got the attention it deserves :)
My view on tool use has shifted. It is a critical component, not an add-on. A model without a connection to a software environment is fundamentally less powerful. This becomes more obvious the more you interact with SoTA models.
Very excited about the launch of Gemini Advanced! 🚀 The team has worked tirelessly over the last few months carefully training and evaluating the model, and we are excited to know what you think! Tech report (section 6 onwards): storage.googleapis.com/deepmind-media…
Welcome to the next chapter in the Gemini era. ✨ We’re bringing our models to more @Google products you know, use & love. From today, Bard will be known as Gemini — and you can access our most capable model, Ultra 1.0, with Gemini Advanced. → dpmd.ai/bard-gemini-ad… #GeminiAI
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