Machine learning: problems AND LLM
Common descendants
41 Documents
LlamaIndex 🦙 sur X : "Fine-tuning Embedding Models for RAG with LoRA'
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2024-04-23 About
Prompt Engineering NER
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2024-04-12 About
NER using DSPy
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2024-04-12 About
LlamaIndex sur X : "Save Memory (and Money) in RAG pipeline with @Cohere 's Int8 and Binary Embeddings..."
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2024-03-30 About
LlamaIndex 🦙 sur X : "An emerging technique to better represent your data for RAG/LLM applications is to only chunk the data, but also hierarchically cluster and index it..."
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2024-03-30 About
[2401.12178] In-Context Learning for Extreme Multi-Label Classification
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2024-03-17 About
Jo Kristian Bergum sur X : "...helping people understand the shortcomings of text embedding models for their data. The most powerful has been demonstrating how the embedding models' tokenizers work."
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2024-03-16 About
Nils Reimers sur X : "Embeddings can store only 1 aspect/topic per embedding well."
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2024-03-13 About
Ravi Theja sur X : "𝐀𝐜𝐭𝐢𝐯𝐞𝐑𝐀𝐆: 𝐑𝐞𝐯𝐞𝐚𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐓𝐫𝐞𝐚𝐬𝐮𝐫𝐞𝐬 𝐨𝐟 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐯𝐢𝐚 𝐀𝐜𝐭𝐢𝐯𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠..."
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2024-02-25 About
Jeff Dean (@🏡) sur X : "Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length..."
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2024-02-15 About
Fine-Tuning a Linear Adapter for Any Embedding Model | LlamaIndex Blog | Sep, 2023
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2023-09-18 About
openai-cookbook/examples/Customizing_embeddings.ipynb
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2023-09-17 About
Fine-Tuning Your Embedding Model to Maximize Relevance Retrieval in RAG Pipeline | by Wenqi Glantz | Sep, 2023 | Better Programming
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2023-09-13 About
Jerry Liu sur X : "how do you get a good retrieval dataset w/o spending a ton of money on human labels? Answer: use LLMs"
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2023-08-30 About
Jerry Liu sur X : "One major way to improve your RAG system is to fine-tune your embedding model"
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2023-08-25 About
[2305.12517] Retrieving Texts based on Abstract Descriptions
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2023-06-15 About
Yann Dubois sur Twitter : "Developing chat LLMs is hard without an automated way to measure improvements 🔥It just became easier with AlpacaEval..."
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2023-06-08 About
skeskinen/bert.cpp: ggml implementation of BERT
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2023-05-09 About
[2202.08904] SGPT: GPT Sentence Embeddings for Semantic Search
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2023-04-25 About
mayooear/gpt4-pdf-chatbot-langchain: GPT4 & LangChain Chatbot for large PDF docs
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2023-04-20 About
Jerry Liu sur Twitter : "To evaluate retrieval-augmented LLM’s, we can compare the query/response/source context to see if they match. We just added this to @gpt_index..."
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2023-04-11 About
Jo Kristian Bergum sur Twitter : "Do GTP embeddings work for our domain?"
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2023-04-07 About
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..."
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2023-04-05 About
Alex Olshevsky sur Twitter : "I want to argue that GPT-4 understands, at least sometimes."
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2023-04-04 About
harley turan sur Twitter : "a force-directed knowledge graph interface for @OpenAI’s gpt-4..."
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2023-03-31 About
Markprompt | Open Source GPT-4 platform for Markdown
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2023-03-25 About
Jim Fan sur Twitter : "...NVIDIA AI Foundations "
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2023-03-24 About
Jimmy Lin sur Twitter : "GPT-4 and its ilk are awesome for rapid prototyping and one-offs, but at the end of the day, enterprises will deploy far smaller distilled models in production. Here's my contrarian take -" / Twitter
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2023-03-21 About
Andrej Karpathy sur Twitter : "Base LLMs (non-finetuned) make very strong few-shot classifiers. Describe task in English, give few examples, read off the label probabilities on test example. No gradient-based optimization necessary. It brings a cannon to a knife fight but is fast, convenient, strong baseline." / Twitter
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2023-03-19 About
David Chalmers sur Twitter : "what are some new and interesting results about the relative capacities of multimodal models and pure language models... (thinking about "do language models need sensory grounding for meaning and understanding?".)"
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2023-03-15 About
GPT-4 (OpenAI blog post)
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2023-03-15 About
Jim Fan sur Twitter : "GPT-4 is HERE. Most important bits you need to know..."
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2023-03-15 About
Jerry Liu sur Twitter : "A key goal of @gpt_index is to enable end users to ask an LLM *any* questions over their own data..."
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2023-02-27 About
[2212.09741] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
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2023-02-17 About
[2302.08091] Do We Still Need Clinical Language Models?
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2023-02-17 About
explosion/prodigy-openai-recipes: ✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3
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2023-02-11 About
Mate Marschalko sur Twitter : "ChatGPT in an iOS Shortcut — I built the World's Smartest HomeKit Voice Assistant #siri #homeautomation #openai #homekit #chatgpt"
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2023-01-23 About
[2201.04337] PromptBERT: Improving BERT Sentence Embeddings with Prompts
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2022-09-16 About
[2209.01975] Selective Annotation Makes Language Models Better Few-Shot Learners
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2022-09-07 About
[2207.06300] Re2G: Retrieve, Rerank, Generate
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2022-07-14 About
[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling
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2022-01-19 About