Yeah. Haiku isn’t far off from GPT-4
LLMS
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Claude 3 Opus Outperforms GPT-4 on Debugging Task
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Gotta hand it to @AnthropicAI
, Claude 3 Opus is an absolute beast of a model I've was trying to get GPT-4 to debug an issue for two hours, no success Same prompt, Opus gets it on the first try -
Frontier models outperform specialized AIs trained on proprietary data
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There was a moment that we thought proprietary data would let organizations train specialized AIs that could compete with frontier models. It turns out that probably isn't going to happen. The largest frontier models are just much better at most complex tasks than smaller models.
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GPT-4 Outperforms Specialized Finance AI Model
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This remains one of the most consequential experiments in AI: Bloomberg trained a GPT-3.5 class AI on their own financial data last year… …only to find that GPT-4 8k, without specialized finance training, beat it on almost all finance tasks. Hard to beat the frontier models.
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Combining 500K Models to Train Foundation Models Efficiently
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Training foundation models require enormous resources. We can overcome this by working with the vast collective intelligence of existing models. @HuggingFace has over 500k models in dozens of modalities that, in principle, can be combined to form new models with new capabilities!
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Evolutionary Model Merge: Automating Foundation Model Development
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Introducing Evolutionary Model Merge: A new approach bringing us closer to automating foundation model development. We use evolution to find great ways of combining open-source models, building new powerful foundation models with user-specified abilities!https://t.co/G0EyM7pztr pic.twitter.com/msOokvqGbR
— Sakana AI (@SakanaAILabs) 21 mars 2024Introducing Evolutionary Model Merge: A new approach bringing us closer to automating foundation model development. We use evolution to find great ways of combining open-source models, building new powerful foundation models with user-specified abilities! https://
sakana.ai/evolutionary-m
odel-merge/
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Sakana AI Introduces Evolutionary Model Merge Method
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Sakana AIの最初の研究成果である、進化的計算による基盤モデル構築に関する論文を公開しました。多様な既存モデルを自動的に融合し優れた基盤モデルを構築するための方法を提案すると共に、それにより試作したモデルを公開しました。
— Sakana AI (@SakanaAILabs) 21 mars 2024
ブログ https://t.co/E4Ao87UXXi
論文 https://t.co/YtH7wEQHf1… pic.twitter.com/JcNabJukOtSakana AIの最初の研究成果である、進化的計算による基盤モデル構築に関する論文を公開しました。多様な既存モデルを自動的に融合し優れた基盤モデルを構築するための方法を提案すると共に、それにより試作したモデルを公開しました。 ブログ https://
sakana.ai/evolutionary-m
odel-merge-jp
…
論文 https://
arxiv.org/abs/2403.13187 -
Moving from Large Language Models to Vision Language Models
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https://
drdebashisdutta.com/moving-from-la
rge-language-models-llm-to-vlms-vision-language-models-vlms/
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Algorithms on Trees and Graphs with Python Code
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#Algorithms on Trees and Graphs (with #Python Code): http://
amzn.to/3IrmKWs
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#AI #MachineLearning #BigData #DataScience #RDF #LinkedData #GraphDB #GraphAnalytics #Semantics #KnowledgeGraphs #RAG #LLMs #DataStructures #DataScientists #Coding -
Quick Start Guide to Large Language Models Strategies and Best Practices
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Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
amzn.to/4awUGN5
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#BigData #DataScience #AI #NLProc #NeuralNetworks #DeepLearning #MachineLearning #Algorithms