Difference between revisions of "Alpaca"
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* [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]] | * [[Large Language Model (LLM)]] ... [[Natural Language Processing (NLP)]] ...[[Natural Language Generation (NLG)|Generation]] ... [[Natural Language Classification (NLC)|Classification]] ... [[Natural Language Processing (NLP)#Natural Language Understanding (NLU)|Understanding]] ... [[Language Translation|Translation]] ... [[Natural Language Tools & Services|Tools & Services]] | ||
* [[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]] | + | * [[Generative AI]] ... [[Conversational AI]] ... [[ChatGPT]] | [[OpenAI]] ... [[Bing]] | [[Microsoft]] ... [[Bard]] | [[Google]] ... [[Claude]] | [[Anthropic]] ... [[Perplexity]] ... [[You]] ... [[Ernie]] | [[Baidu]] |
* [[Assistants]] ... [[Personal Companions]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]] | * [[Assistants]] ... [[Personal Companions]] ... [[Agents]] ... [[Negotiation]] ... [[LangChain]] | ||
* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]] | * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]] | ||
Revision as of 17:26, 12 July 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 ... ChatGPT | OpenAI ... Bing | Microsoft ... Bard | Google ... Claude | Anthropic ... Perplexity ... You ... Ernie | Baidu
- Assistants ... Personal Companions ... Agents ... Negotiation ... LangChain
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
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.
