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- Introducing Gemini 1.5, Google's next-generation AI model https://blog.google/technology/ai/google-gemini-next-generation-model-february-2024/ 715 comments
- Jevons paradox - Wikipedia https://en.wikipedia.org/wiki/Jevons_paradox 307 comments
- Our structure https://openai.com/our-structure 145 comments
- Pricing https://openai.com/api/pricing/ 136 comments
- [2402.14083] Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping https://arxiv.org/abs/2402.14083 128 comments
- [2307.02486] LongNet: Scaling Transformers to 1,000,000,000 Tokens https://arxiv.org/abs/2307.02486 98 comments
- [2402.13753] LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens https://arxiv.org/abs/2402.13753 46 comments
- [2402.10790] In Search of Needles in a 10M Haystack: Recurrent Memory Finds What LLMs Miss https://arxiv.org/abs/2402.10790 26 comments
- [2310.01889] Ring Attention with Blockwise Transformers for Near-Infinite Context https://arxiv.org/abs/2310.01889 20 comments
- Gemini API Pricing | Google AI for Developers | Google for Developers https://ai.google.dev/pricing 5 comments
- Unpacking the hype around OpenAI’s rumored new Q* model | MIT Technology Review https://www.technologyreview.com/2023/11/27/1083886/unpacking-the-hype-around-openais-rumored-new-q-model/ 4 comments
- GitHub - gkamradt/LLMTest_NeedleInAHaystack: Doing simple retrieval from LLM models at various context lengths to measure accuracy https://github.com/gkamradt/LLMTest_NeedleInAHaystack 0 comments
- [Google] Gemini: A Family of Highly Capable Multimodal Models https://gonzoml.substack.com/p/google-gemini-a-family-of-highly 0 comments
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