sriram vasudevan's picture

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sriram vasudevan

sriramvasu

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liked a model about 2 months ago

deepseek-ai/DeepSeek-R1

reacted to merve's post with 🚀 about 2 months ago

smolagents can see 🔥 we just shipped vision support to smolagents 🤗 agentic computers FTW you can now: 💻 let the agent get images dynamically (e.g. agentic web browser) 📑 pass images at the init of the agent (e.g. chatting with documents, filling forms automatically etc) with few LoC change! 🤯 you can use transformers models locally (like Qwen2VL) OR plug-in your favorite multimodal inference provider (gpt-4o, antrophic & co) 🤠 read our blog http://hf.co/blog/smolagents-can-see

reacted to chansung's post with 👍 about 2 months ago

Simple summarization of Evolving Deeper LLM Thinking (Google DeepMind) The process starts by posing a question. 1) The LLM generates initial responses. 2) These generated responses are evaluated according to specific criteria (program-based checker). 3) The LLM critiques the evaluated results. 4) The LLM refines the responses based on the evaluation, critique, and original responses. The refined response is then fed back into step 2). If it meets the criteria, the process ends. Otherwise, the algorithm generates more responses based on the refined ones (with some being discarded, some remaining, and some responses potentially being merged). Through this process, it demonstrated excellent performance in complex scheduling problems (travel planning, meeting scheduling, etc.). It's a viable method for finding highly effective solutions in specific scenarios. However, there are two major drawbacks: 🤔 An excessive number of API calls are required. (While the cost might not be very high, it leads to significant latency.) 🤔 The evaluator is program-based. (This limits its use as a general method. It could potentially be modified/implemented using LLM as Judge, but that would introduce additional API costs for evaluation.) https://arxiv.org/abs/2501.09891

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sriramvasu's activity

upvoted an article 3 months ago

Article

Fine-Tuning LLMs: Supervised Fine-Tuning and Reward Modelling

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Dec 4, 2023

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upvoted 2 collections 3 months ago

Stable Diffusion 3.5

6 items • Updated Jan 9 • 145

Meta Llama 3

This collection hosts the transformers and original repos of the Meta Llama 3 and Llama Guard 2 releases • 5 items • Updated Dec 6, 2024 • 720

upvoted a paper 11 months ago

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

Paper • 2405.00732 • Published Apr 29, 2024 • 120