We didn’t even have time to write about OpenAI taking on Google’s web search late last night and now Google drops this
GENERATIVE AI
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Large Context Windows Improve AI Writing Style Mimicry
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Good point. The massive context window allows you to provide a ton of more context, which should help the model mimic writing style better
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AI adoption in fraud detection lags despite strong plans
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83% of fraud fighters plan to add #GenAI in the next 2 years. But the reality can lag the vision: Use of AI & ML in combating #fraud has grown by just 5% in 5 years. Why? And what are the most promising anti-fraud uses for AI? New survey from @TheACFE and SAS has answers
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LangSmith GA Launch Sequoia Series A Funding New Brand
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Today, we’re thrilled to announce – The general availability of LangSmith (no more waitlist!)
– Our Series A fundraise led by @sequoia – Our beautiful new homepage and brand We've worked hard over the past few months to add requested features and ensure LangSmith can -
Gemini 1.5 Pro Outperforms Ultra in Latest Benchmarks
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Here's how Gemini 1.5 Pro compares to Gemini Pro 1.0 and Gemini Ultra 1.0. These are huge improvements. It's shocking to see this new model beat out Gemini Ultra (the paid version that was launched just last week) in so many benchmarks.
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Gemini Pro Processes 700K Words and Code in Seconds
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Here's the model in action in Google AI Studio.
— Rowan Cheung (@rowancheung) 15 février 2024
You can upload multiple pdf files that can tally up to ~700,000 words, and Gemini Pro will process the information and give you an output in seconds.
This also works for uploading entire codebases, 1 hour of video, 11 hours of… pic.twitter.com/VPn1Jd8BR9Here's the model in action in Google AI Studio. You can upload multiple pdf files that can tally up to ~700,000 words, and Gemini Pro will process the information and give you an output in seconds. This also works for uploading entire codebases, 1 hour of video, 11 hours of
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Million Token Context Windows Transform RAG Deployments
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You can shove in entire codebases! 1M context windows are game-changing especially for RAG-based deployments. You can just put a ton more data into the context.
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AI Model Demonstrates Long-Context Understanding with Apollo 11
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Here’s a fun demo of long-context understanding. First, we asked the model to find 3 amusing moments in the 402-page pdf transcription of the iconic Apollo 11 mission. Then we uploaded a simple drawing of a boot and it identified the moment we had in mind: Neil’s one small step! pic.twitter.com/mx8id3cqSi
— Demis Hassabis (@demishassabis) 15 février 2024Here’s a fun demo of long-context understanding. First, we asked the model to find 3 amusing moments in the 402-page pdf transcription of the iconic Apollo 11 mission. Then we uploaded a simple drawing of a boot and it identified the moment we had in mind: Neil’s one small step!
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Google Releases Gemini Pro 1.5 with 1M Token Context Window
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🚨 Google just dropped Gemini Pro 1.5, the next version of its AI model with a 1,000,000+ token context length.
— Rowan Cheung (@rowancheung) 15 février 2024
The model can now understand entire books, full movies, and podcast series' all in one go.
This surpasses all other competitor Chatbot context windows by a longshot.… pic.twitter.com/lIjeHE8W9uGoogle just dropped Gemini Pro 1.5, the next version of its AI model with a 1,000,000+ token context length. The model can now understand entire books, full movies, and podcast series' all in one go. This surpasses all other competitor Chatbot context windows by a longshot.
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Gemini-1.5 Coding Capabilities for AI-Generated Workflows
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Super excited to try Gemini-1.5's coding abilities, especially with context around full code bases and dependencies. We'll be experimenting with it @Lutra_AI for making AI-generated workflows!