56,966 blogs · [ { "id": "01a08799-4bf0-7278-81aa-22eba2044dc6", "title": "Measuring a model's understanding — starting with path-finding", "url": "https://learnandburn.ai/p/measuring-a-models-understanding", "published_at": "2024-11-26T13:24:45+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba21ef4e6", "title": "Making LLMs scalable by replacing weights with learnable tokens", "url": "https://learnandburn.ai/p/making-llms-scalable-by-replacing", "published_at": "2024-11-19T00:35:38+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba290119a", "title": "Image generation for infinite games", "url": "https://learnandburn.ai/p/image-generation-for-infinite-games", "published_at": "2024-11-10T13:11:45+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba2a95a4c", "title": "Do LLMs rely on data contamination to solve math problems?", "url": "https://learnandburn.ai/p/do-llms-rely-on-data-contamination", "published_at": "2024-11-02T12:54:49+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba2c5812c", "title": "Running an LLM on a small customizable chip", "url": "https://learnandburn.ai/p/running-an-llm-on-a-small-customizable", "published_at": "2024-10-30T12:23:56+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba32ed4bb", "title": "Better language models with negative attention", "url": "https://learnandburn.ai/p/better-language-models-with-negative", "published_at": "2024-10-18T18:57:35+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba3ee6838", "title": "A serious look at the future of AI medical advice", "url": "https://learnandburn.ai/p/a-serious-look-at-the-future-of-ai", "published_at": "2024-10-12T13:24:50+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba4ec4e73", "title": "LLMs have original, research-worthy ideas", "url": "https://learnandburn.ai/p/llms-have-original-research-worthy", "published_at": "2024-10-08T12:39:45+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba52978ff", "title": "OpenAI's o1 model", "url": "https://learnandburn.ai/p/openais-o1-model", "published_at": "2024-09-27T23:15:08+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba5747b21", "title": "The subgoals of attention units in LLMs", "url": "https://learnandburn.ai/p/the-subgoals-of-attention-units-in", "published_at": "2024-09-20T12:22:08+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba595d908", "title": "A model to parse body language", "url": "https://learnandburn.ai/p/a-model-to-parse-body-language", "published_at": "2024-09-16T22:56:33+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba68c0b58", "title": "Stable diffusion can simulate video games", "url": "https://learnandburn.ai/p/stable-diffusion-can-simulate-video", "published_at": "2024-09-06T12:10:58+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba738ef90", "title": "How to build a lensless camera", "url": "https://learnandburn.ai/p/how-to-build-a-lensless-camera", "published_at": "2024-08-30T12:25:50+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba7646de4", "title": "LLMs are great geo-aware predictors", "url": "https://learnandburn.ai/p/llms-are-great-geo-aware-predictors", "published_at": "2024-08-23T12:11:12+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba85db201", "title": "Spherical-graph based weather prediction", "url": "https://learnandburn.ai/p/spherical-graph-based-weather-prediction", "published_at": "2024-08-16T12:11:38+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba86dc1a5", "title": "AI is solving international-level math competition problems", "url": "https://learnandburn.ai/p/ai-is-solving-international-level", "published_at": "2024-08-09T12:12:52+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba8ec1ae9", "title": "How to use LLMs with spreadsheets", "url": "https://learnandburn.ai/p/how-to-use-llms-with-spreadsheets", "published_at": "2024-08-02T12:22:09+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22eba94b2a53", "title": "Physical neural networks", "url": "https://learnandburn.ai/p/physical-neural-networks", "published_at": "2024-07-26T12:05:06+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22ebaa0c88ee", "title": "Predicting depth data from a single image", "url": "https://learnandburn.ai/p/predicting-depth-data-from-a-single", "published_at": "2024-07-19T11:05:40+00:00" }, { "id": "01a08799-4bf0-7278-81aa-22ebaa569cc8", "title": "Vision transformers can see in stereo", "url": "https://learnandburn.ai/p/vision-transformers-can-see-in-stereo", "published_at": "2024-07-12T20:34:11+00:00" } ] posts Claim your blog

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2024

Measuring a model's understanding — starting with path-finding original ↗

26 Nov 2024

Making LLMs scalable by replacing weights with learnable tokens original ↗

19 Nov 2024

Image generation for infinite games original ↗

10 Nov 2024

Do LLMs rely on data contamination to solve math problems?original ↗

2 Nov 2024

Running an LLM on a small customizable chip original ↗

30 Oct 2024

Better language models with negative attention original ↗

18 Oct 2024

A serious look at the future of AI medical advice original ↗

12 Oct 2024

LLMs have original, research-worthy ideas original ↗

8 Oct 2024

OpenAI's o1 model original ↗

27 Sept 2024

The subgoals of attention units in LLMs original ↗

20 Sept 2024

A model to parse body language original ↗

16 Sept 2024

Stable diffusion can simulate video games original ↗

6 Sept 2024

How to build a lensless camera original ↗

30 Aug 2024

LLMs are great geo-aware predictors original ↗

23 Aug 2024

Spherical-graph based weather prediction original ↗

16 Aug 2024

AI is solving international-level math competition problems original ↗

9 Aug 2024

How to use LLMs with spreadsheets original ↗

2 Aug 2024

Physical neural networks original ↗

26 Jul 2024

Predicting depth data from a single image original ↗

19 Jul 2024

Vision transformers can see in stereo original ↗

12 Jul 2024