Were you asking GPT-4 Vision for JSON and then parsing what came back – did you have to do anything special to avoid "Here is the JSON for that:" prefixes and suchlike?
GENERATIVE AI
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Calling the New Embedding Model REST API Documentation
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I'm having a tiny bit of trouble figuring out how to call the new embedding model – is there any clear REST API documentation anywhere?
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Google Gemini 1.5 Pro Now Available in 180+ Countries
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Google’s Gemini 1.5 Pro model is now available in 180+ countries via the Gemini API.
— Rowan Cheung (@rowancheung) 10 avril 2024
The company also introduced native audio understanding, system instructions, JSON mode, and more.
Try the 1.5 Pro for free with my tutorial below: https://t.co/zih5X28NjyGoogle’s Gemini 1.5 Pro model is now available in 180+ countries via the Gemini API. The company also introduced native audio understanding, system instructions, JSON mode, and more. Try the 1.5 Pro for free with my tutorial below:
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Intel Gaudi 3 Chip Targets Nvidia With 50% Faster Training
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Intel just unveiled its Gaudi 3 AI chip at the company’s Vision event, taking direct aim at Nvidia.
— Rowan Cheung (@rowancheung) 10 avril 2024
The chip offers enterprises an open, flexible alternative for deploying generative AI at scale and promises 50% faster training than NVIDIA's H100 pic.twitter.com/dBBh1kwwppIntel just unveiled its Gaudi 3 AI chip at the company’s Vision event, taking direct aim at Nvidia. The chip offers enterprises an open, flexible alternative for deploying generative AI at scale and promises 50% faster training than NVIDIA's H100
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Meta Confirms Llama 3 Release Within One Month
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At an event in London, Meta confirmed that it plans an initial release of Llama 3, its GPT-4 competitor, within the next month. The company did not disclose the size of the parameters used in Llama 3, but it's expected to have about 140 billion parameters.
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Meta Llama 3 Launch Imminent Plus Major AI Developments
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JUST IN: Meta confirmed its GPT-4 competitor, Llama 3, is coming within the month. Plus, more developments from Intel, Google Gemini 1.5, OpenAI, Microsoft, Cohere, eBay, and Archetype AI. Here's everything going on in AI right now:
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Mistral Releases 8x22B MoE Model Advancing Open Source AI
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Apparently this is a 8x22B MoE (Mixture of Experts) model Mistral's previous most powerful openly licensed model was Mixtral, an 8x7B MoE
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Which LLM Provider Will Release Genuinely Useful Release Notes First?
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Who will be the first LLM provider to publish genuinely useful release notes?
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Overcoming AI Output Token Limits Through Strategic Prompting
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Yeah the maximum number of output tokens is an important factor – but you can overcome that by promoting it for more content and including the content it's already given you
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Day 2 Progress: 17 Hours Before Segfault Debugging Issues
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Day 2. went 17 hours before dying again. progress here https://
gist.github.com/swyxio/d37350c
1061d39b38b103c8d0f1438c7#file-day_2_devin_train_gpt2-c
… its stuck debugging segfaults and memory errors and i'm not confident that it is making material progress. It may need a bit of hinting and direction – but i dont want to tell it to search the