NLP@Stanford AND Deep NLP
Descendants partagés
20 Documents
bclavie/RAGatouille
Tags:
2024-01-26 A propos
Zain Hasan sur X : "why do large language models pay more attention to and reason better over the beginning and end of what you tell them in prompts?"
Tags:
2023-11-19 A propos
LangChain Retrieval Webinar - YouTube
Tags:
2023-05-27 A propos
How to use Alpaca-LoRA to fine-tune a model like ChatGPT
Tags:
2023-05-26 A propos
Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
Tags:
2023-04-05 A propos
Alpaca Finetuning of Llama on a 24G Consumer GPU
Tags:
2023-03-27 A propos
tloen/alpaca-lora: Instruct-tune LLaMA on consumer hardware
Tags:
2023-03-22 A propos
LLM Zoo at Home: LLaMA & Alpaca | bergis universe of software, hardware and ideas
Tags:
2023-03-20 A propos
stanfordnlp/dspy: 𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.
Tags:
2023-02-18 A propos
Prompting, Instruction Finetuning, and RLHF (CS224N)
Tags:
2023-02-16 A propos
[2203.14465] STaR: Bootstrapping Reasoning With Reasoning
Tags:
2023-02-07 A propos
[2301.04709] Causal Abstraction for Faithful Model Interpretation
Tags:
2023-01-14 A propos
Meet CoAuthor, an Experiment in Human-AI Collaborative Writing
Tags:
2022-11-13 A propos
[2208.01066] What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Tags:
2022-09-17 A propos
[2006.05987] Revisiting Few-sample BERT Fine-tuning
Tags:
2022-03-21 A propos
Document Matching for Job Descriptions | Semantic Scholar (2021)
Tags:
2022-03-09 A propos
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations? | SAIL Blog
Tags:
2020-03-28 A propos
Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019
Tags:
2020-01-05 A propos
CS224n: Natural Language Processing with Deep Learning
Tags:
2018-04-05 A propos
CS224n: Natural Language Processing with Deep Learning
Tags:
2017-09-10 A propos