Difference between revisions of "Alpaca"
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[https://news.google.com/search?q=ai+Alpaca+Standford ...Google News] | [https://news.google.com/search?q=ai+Alpaca+Standford ...Google News] | ||
[https://www.bing.com/news/search?q=ai+Alpaca+Standford&qft=interval%3d%228%22 ...Bing News] | [https://www.bing.com/news/search?q=ai+Alpaca+Standford&qft=interval%3d%228%22 ...Bing News] | ||
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* [https://github.com/tatsu-lab/stanford_alpaca Alpaca] | Stanford | * [https://github.com/tatsu-lab/stanford_alpaca Alpaca] | Stanford | ||
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* [[Large_Language_Model_(LLM)#Large Language Model (LLM) Ecosystem Explained|Large Language Model (LLM) Ecosystem Explained]] | * [[Large_Language_Model_(LLM)#Large Language Model (LLM) Ecosystem Explained|Large Language Model (LLM) Ecosystem Explained]] | ||
* [[Generative AI]] ... [[Conversational AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]] ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]] | * [[Generative AI]] ... [[Conversational AI]] ... [[OpenAI]]'s [[ChatGPT]] ... [[Perplexity]] ... [[Microsoft]]'s [[Bing]] ... [[You]] ...[[Google]]'s [[Bard]] ... [[Baidu]]'s [[Ernie]] | ||
| − | * [[Assistants]] ... [[Agents]] ... [[Negotiation | + | * [[Assistants]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]] |
* [[Development]] ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]] | * [[Development]] ...[[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Analytics]] ... [[Visualization]] ... [[Diagrams for Business Analysis]] | ||
Revision as of 21:56, 19 May 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Alpaca | Stanford
- Alpaca | R. Taori, I. Gulrajani. T. Zhang, Y. Dubois, X. Li, C. Guestrin, P. Liang, & T. Hashimoto A Strong, Replicable Instruction-Following Model
- LLaMA | Meta
- Large Language Model (LLM) ... Natural Language Processing (NLP) ...Generation ... Classification ... Understanding ... Translation ... Tools & Services
- Large Language Model (LLM) Ecosystem Explained
- Generative AI ... Conversational AI ... OpenAI's ChatGPT ... Perplexity ... Microsoft's Bing ... You ...Google's Bard ... Baidu's Ernie
- Assistants ... Agents ... Negotiation ... LangChain
- Development ...AI Pair Programming Tools ... Analytics ... Visualization ... Diagrams for Business Analysis
Researchers at Stanford University have taken down their short-lived chatbot that harnessed Meta’s LLaMA AI, nicknamed Alpaca AI. The researchers launched Alpaca with a public demo anyone could try last week, but quickly took the model offline thanks to rising costs, safety concerns, and “hallucinations,” which is the word the AI community has settled on for when a chatbot confidently states misinformation, dreaming up a fact that doesn’t exist. - Stanford Researchers Take Down Alpaca AI Due to 'Hallucinations' and Rising Costs - Thomas Germain - Gizmodo
Not only does this model run on modest hardware, but it can even be retrained on a modest budget to fine-tune it for new use cases. Using their methods, the team showed it was possible to retrain their LLM for less than $600. Alpaca: The Large Language Model That Won't Fleece You | Nick Bild - Hackster.io ... Alpaca builds on LLaMA to make large language models more accessible, demonstrating that they can be retrained for new uses for under $600.
