https://bits-bytes-nn.github.io/paper%20reviews/finetuning/2022/12/15/constitutional-ai-harmlessness-from-ai-feedback.html 2022-12-15T06:19:23+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2023/02/27/llama-open-and-efficient-foundation-language-models.html 2023-02-27T17:11:15+00:00 https://bits-bytes-nn.github.io/paper%20reviews/finetuning/2023/05/23/qlora-efficient-finetuning-of-quantized-llms.html 2023-05-23T17:50:33+00:00 https://bits-bytes-nn.github.io/paper%20reviews/finetuning/2023/05/29/direct-preference-optimization-your-language-model-is-secretly-a-reward-model.html 2023-05-29T17:57:46+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2023/07/18/llama-2-open-foundation-and-fine-tuned-chat-models.html 2023-07-18T14:31:57+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2023/10/10/mistral-7b.html 2023-10-10T17:54:58+00:00 https://bits-bytes-nn.github.io/paper%20reviews/multimodal-learning/2023/12/19/gemini-a-family-of-highly-capable-multimodal-models.html 2023-12-19T02:39:27+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/01/05/deepseek-llm-scaling-open-source-language-models-with-longtermism.html 2024-01-05T18:59:13+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/01/08/mixtral-of-experts.html 2024-01-08T18:47:34+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/01/11/deepseekmoe-towards-ultimate-expert-specialization-in-mixture-of-experts-language-models.html 2024-01-11T17:31:42+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/01/25/deepseek-coder-when-the-large-language-model-meets-programming-the-rise-of-code-intelligence.html 2024-01-25T14:17:53+00:00 https://bits-bytes-nn.github.io/paper%20reviews/retrieval-augmented-generation/2024/01/31/raptor-recursive-abstractive-processing-for-tree-organized-retrieval.html 2024-01-31T18:30:21+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/02/05/deepseekmath-pushing-the-limits-of-mathematical-reasoning-in-open-language-models.html 2024-02-05T18:55:32+00:00 https://bits-bytes-nn.github.io/paper%20reviews/retrieval-augmented-generation/2024/04/24/from-local-to-global-a-graph-rag-approach-to-query-focused-summarization.html 2024-04-24T18:38:11+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/05/07/deepseek-v2-a-strong-economical-and-efficient-mixture-of-experts-language-model.html 2024-05-07T15:56:43+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/07/31/the-llama-3-herd-of-models.html 2024-07-31T17:54:27+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/07/31/gemma-2-improving-open-language-models-at-a-practical-size.html 2024-07-31T19:13:07+00:00 https://bits-bytes-nn.github.io/paper%20reviews/retrieval-augmented-generation/2024/10/08/lightrag-simple-and-fast-retrieval-augmented-generation.html 2024-10-08T08:00:12+00:00 https://bits-bytes-nn.github.io/paper%20reviews/multimodal-learning/2024/10/09/pixtral-12b.html 2024-10-09T17:16:22+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/11/22/tulu-3-pushing-frontiers-in-open-language-model-post-training.html 2024-11-22T18:44:04+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2024/12/27/deepseek-v3-technical-report.html 2024-12-27T04:03:16+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2025/01/22/deepseek-r1-incentivizing-reasoning-capability-in-llms-via-reinforcement-learning.html 2025-01-22T15:19:35+00:00 https://bits-bytes-nn.github.io/paper%20reviews/multimodal-learning/2025/03/25/gemma-3-technical-report.html 2025-03-25T15:52:34+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2025/05/14/qwen3-technical-report.html 2025-05-14T13:41:34+00:00 https://bits-bytes-nn.github.io/paper%20reviews/multimodal-learning/2025/07/07/gemini-2.5-pushing-the-frontier-with-advanced-reasoning-multimodality-long-context-and-next-generation-agentic-capabilities.html 2025-07-07T17:36:04+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2025/07/28/kimi-k2-open-agentic-intelligence.html 2025-07-28T05:35:43+00:00 https://bits-bytes-nn.github.io/paper%20reviews/language-models/2025/12/02/deepseek-v3.2-pushing-the-frontier-of-open-large-language-models.html 2025-12-02T09:25:14+00:00 https://bits-bytes-nn.github.io/insights/agentic-ai/2026/03/31/claude-code-source-map-leak-analysis.html 2026-03-31T12:00:00+00:00 https://bits-bytes-nn.github.io/insights/agentic-ai/2026/03/31/claude-code-architecture-analysis.html 2026-03-31T12:00:01+00:00 https://bits-bytes-nn.github.io/about/ https://bits-bytes-nn.github.io/categories/ https://bits-bytes-nn.github.io/ https://bits-bytes-nn.github.io/insights/ https://bits-bytes-nn.github.io/paper-reviews/ https://bits-bytes-nn.github.io/paper-summaries/ https://bits-bytes-nn.github.io/search/ https://bits-bytes-nn.github.io/tags/ https://bits-bytes-nn.github.io/page/2/ https://bits-bytes-nn.github.io/page/3/ https://bits-bytes-nn.github.io/page/4/ https://bits-bytes-nn.github.io/page/5/ https://bits-bytes-nn.github.io/page/6/