3). LLMs Know More Than They Show – finds that the "truthfulness" information in LLMs is concentrated in specific tokens; this insight can help enhance error detection performance and further mitigate some of these issues.
LLMS
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Top Machine Learning Papers of the Week
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The Top ML Papers of the Week (Sep 30 – Oct 6): – Movie Gen
– RATIONALYST
– An Analysis of o1-preview
– Were RNNs All We Needed?
– LLMs Know More Than They Show
– Not All LLM Reasoners Are Created Equal Read on for more: -
Advanced AI Models More Likely to Deceive Users
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Link: https://
arstechnica.com/science/2024/1
0/the-more-sophisticated-ai-models-get-the-more-likely-they-are-to-lie/
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ChatGPT’s Convincing Answers Risk Spreading Misinformation
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ChatGPT’s answers sound more convincing, even when they aren’t true:
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Language Identification vs Generation: Revisiting Gold’s Classic Result
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Super cool talk and result. Classic work by Gold in 1967 (!) shows that language identification is impossible. But they revisit this setting with a focus on *generation* showing it's always possible.
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Priompt: JSX-based prompt design tool for AI development
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GitHub – anysphere/priompt: Prompt design using JSX. https://
bit.ly/3XRekha
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Jon Kleinberg presents Language Generation in the Limit
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Second talk of the day is by Jon Kleinberg, on "Language Generation in the Limit"
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ChatGPT Canvas Fixes Code in Real-Time
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Watching `#ChatGPT Canvas` fix your code in real-time is quite something pic.twitter.com/KkkPvVUwCn
— Charly Wargnier (@DataChaz) 6 octobre 2024Watching `#ChatGPT Canvas` fix your code in real-time is quite something
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Xcode AI Assistance: Debugging and Error Correction with Screenshots
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I've been dumping everything into Xcode and just asking it to create the edits in chunks that I can drop in manually, but it's harder to debug if it can't see everything. It seems to accept screenshots of the Xcode errors and produce corrected segments well.
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Using AI and screenshots to debug Xcode errors manually
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I've been dumping everything into Xcode and just asking it to create the edits in chunks that I can drop in manually, but it's harder to debug if it can't see everything. It seems to accept screenshots of the Xcode errors and produce corrected segments well.