Neuralink just revealed the first human using a brain-chip implant to play chess using mind control alone. Plus, more developments from Elon Musk, Hydra, GPT-5 leaks, Open Interpreter, Sakana AI, Stanford, and Character AI. Here's everything going on in AI right now:
LLMS
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Updated Transformers Book Covers LLMs and Generative AI
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WOW! I have a copy of the updated 3rd Edition of this book: http://
amzn.to/3TkBknI
"Transformers for Natural Language Processing and Computer Vision: Explore #GenerativeAI and Large Language Models #LLMs with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3" Huge! 728 pages of #AI / -
Using Claude for Conference Paper Review Baseline
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If you are organizing a conference, consider using Claude to establish a baseline for paper reviews. Not to replace human reviewers but to set the bar. Also consider to use an LLM to review the reviews, alerting program chairs to potential shortcomings.
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EvoVLM-JP: Advanced Japanese Vision-Language Model Demo
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進化的モデルマージにより試作した日本語画像言語モデル「EvoVLM-JP」は以下からご自身の画像ですぐお試し頂けます。https://t.co/cAHls3fJ0u
— Sakana AI (@SakanaAILabs) 22 mars 2024
画像と質問文を送信するとモデルが回答します。成功例か失敗例かに関わらず、興味深い例が出来ましたらこのツイートへのリプライで是非ご共有下さい。🤗 https://t.co/VBi1iuhWZO pic.twitter.com/x5nUtPZt8t進化的モデルマージにより試作した日本語画像言語モデル「EvoVLM-JP」は以下からご自身の画像ですぐお試し頂けます。 https://
huggingface.co/spaces/SakanaA
I/EvoVLM-JP
… 画像と質問文を送信するとモデルが回答します。成功例か失敗例かに関わらず、興味深い例が出来ましたらこのツイートへのリプライで是非ご共有下さい。 -
Token Speed Critical for Agentic AI Workflows
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Yes, with agentic workflows, super fast token generation (like @groq
) becomes very important to overall system speed. If an LLM were generating tokens only for human consumption, then there's not much value to generating much faster than human reading speed. But with agentic -
Agentic Workflows Expand Task Capabilities Beyond Non-Agentic LLMs
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Yes, and the outcomes of task-based analysis of jobs is also changing, since the set of tasks that agentic workflows can do is much larger than the set of tasks that non-agentic LLMs can do!
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Claude Prompt Engineer vs Opus to Haiku Tool Comparison
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You might be using claude-prompt-engineer, not opus-to-haiku, btw
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Few-shot examples boost model performance beyond GPT-4 affordably
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Add a few examples and it’ll outperform GPT-4 by far at a fraction of the cost
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Claude Haiku recommended for specific use cases
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Try Claude Haiku, likely better for this use-case