Patrick Bosch @patrickdbosch
Joined December 2023-
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CoT-Decoding, a new way for large language models to showcase reasoning without prompts! This approach taps into the models' inherent capabilities, enhancing reasoning across benchmarks. No more prompt engineering—just pure, intrinsic reasoning power.
CoT-Decoding, a new way for large language models to showcase reasoning without prompts! This approach taps into the models' inherent capabilities, enhancing reasoning across benchmarks. No more prompt engineering—just pure, intrinsic reasoning power.
AI becoming the decision maker with K-Level reasoning.
AI becoming the decision maker with K-Level reasoning.
Somebody followed their prompt guide a bit too much.
Somebody followed their prompt guide a bit too much.
DeepSeekMath: Smaller than GPT-4 but punches above its weight in math benchmarks with a lean dataset and savvy GRPO tech. Who said size matters?
DeepSeekMath: Smaller than GPT-4 but punches above its weight in math benchmarks with a lean dataset and savvy GRPO tech. Who said size matters?
Attention isn't all you need. It seems a long thought-dead architecture is making a comeback!
Attention isn't all you need. It seems a long thought-dead architecture is making a comeback!
Use the full power of an LLM for classification with minimum work!
Use the full power of an LLM for classification with minimum work!
Great overview over areas of current LLM research: Synthetic training data, safety, and most importantly knowledge injection!
Great overview over areas of current LLM research: Synthetic training data, safety, and most importantly knowledge injection!
Exploring FuseLLM, a breakthrough in #AI: Fusing multiple Large Language Models to create a more potent model. This technique harnesses their individual strengths, enhancing capabilities in reasoning, common sense, and code generation. Potential for more robust and versatile AI.
Exploring FuseLLM, a breakthrough in #AI: Fusing multiple Large Language Models to create a more potent model. This technique harnesses their individual strengths, enhancing capabilities in reasoning, common sense, and code generation. Potential for more robust and versatile AI.
Exciting research shows language models excel in hard tasks using easy data, revealing new avenues in cost-effective AI training. More to explore in task diversity and data complexity challenges! #AI
Exciting research shows language models excel in hard tasks using easy data, revealing new avenues in cost-effective AI training. More to explore in task diversity and data complexity challenges! #AI
Using synthetic data to achieve human expert level geometric reasoning capabilities! What's next?
Using synthetic data to achieve human expert level geometric reasoning capabilities! What's next?
New study reveals prompt formatting drastically affects LLM performance. Even subtle changes can lead to large variances, challenging assumptions about model comparisons. #AI
New study reveals prompt formatting drastically affects LLM performance. Even subtle changes can lead to large variances, challenging assumptions about model comparisons. #AI
DPO simplifies language model alignment, streamlining LLM training with direct human preference integration. A promising shift from complex RLHF methods. #AI
DPO simplifies language model alignment, streamlining LLM training with direct human preference integration. A promising shift from complex RLHF methods. #AI
Maaz Khaleeq @KhaleeqMaaz
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Anne Gentle @annegentle
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