People also know Google can be inaccurate but we rely on it anyway because we assume from experience the inaccuracies are small. We still don’t know the degree to which LLM chatbots hallucinate but their marketing as search tools makes many believe they err at a similar rate.
LLMS
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OpenAI License Restrictions on Competitor Model Training
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This would be great, but if this dataset of tasks is made using OpenAI models (prompts and responses), then you can’t use it to train a competitor model. OpenAI license forbids it. Any idea how to solve this?
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GPT-4 Typo: Examining Language Model Error Patterns
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https://
reddit.com/r/ChatGPT/comm
ents/13t216j/anyone_ever_seen_gpt4_make_a_typo_before/
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Requesting new ChatGPT plugin ideas
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If you could request one new ChatGPT plugin, what would it be?
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Run Alpaca-LoRA Efficiently on Low-End Devices
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Learn How to Run Alpaca-LoRA on Your Device in Just a Few Steps – KDnuggets Alpaca-LoRA is a smaller version of Stanford Alpaca that consumes less power and can able to run on low-end devices like Raspberry Pi. https://
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Google Research showcases PaLM 2, Imagen, and AI innovations
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Very proud to see the many ways that @GoogleResearch contributed to the many announcements at the recent Google IO event. PaLM 2 in dozens of uses, Imagen, Phenaki, Chirp, MusicLM, flood forecasting, Green Light, fair and inclusive ML work, and more!
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4-bit Llama Fine-tuning with Alpaca Dataset Performance Analysis
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I trained a 4bit on a Llama base with alpaca dataset today. Reasoning was worse compared to traditional alpaca.
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4bit Training Reduces AI Reasoning Accuracy
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4bit training leads to very inaccurate reasoning skills. Not sure why.
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Guanaco 4-bit Training Fails General Reasoning Test vs Vicuna
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A lot of fanfare has been created about Guanaco and 4 bit training. It however fails my general reasoning test, unlike Vicuna-13b.
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No-Code LangChain: Simplifying AI Development
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If you’re interested in no-code langchain, I would check this out!