Remove writing evals
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Meta raises the bar with open source Llama 3 LLM

AI News

Claude, and other LLMs of comparable scale in human evaluations across 12 key usage scenarios like coding, reasoning, and creative writing. ” Accompanying Meta’s latest models is an updated suite of AI safety tools, including the second iterations of Llama Guard for classifying risks and CyberSec Eval for assessing potential misuse.

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Overcoming LLM Hallucinations Using Retrieval Augmented Generation (RAG)

Unite.AI

While its creative capacity benefits applications like storytelling, it poses challenges for tasks requiring strict adherence to facts, such as conducting academic research, writing medical and financial analysis reports, and providing legal advice.

LLM 290
professionals

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XGen, a 7B LLM trained on up to 8K sequence length from SalesForce

Bugra Akyildiz

It is capable of generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way. Datasets+ : We have preprocessed well-known benchmarks ( Human-Eval, MBPP, CodeXGLUE, APPS, etc. ) Human-Eval) on popular metrics (e.g.,

LLM 52
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How we built better GenAI with programmatic data development

Snorkel AI

Experiments showed improvement across every major instruction category (up to 10 points), with boosts as high as 12 points for specific tasks (such as writing emails). Generation : e.g., “Write me an essay comparing baroque with minimalist music”. We released the resulting fine-tuned RedPajama model as well.

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How we built better GenAI with programmatic data development

Snorkel AI

Experiments showed improvement across every major instruction category (up to 10 points), with boosts as high as 12 points for specific tasks (such as writing emails). Generation : e.g., “Write me an essay comparing baroque with minimalist music”. We released the resulting fine-tuned RedPajama model as well.

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How we built a better GenAI with programmatic data development

Snorkel AI

Experiments showed improvement across every major instruction category (up to 10 points), with boosts as high as 12 points for specific tasks (such as writing emails). Generation : e.g., “Write me an essay comparing baroque with minimalist music”. We released the resulting fine-tuned RedPajama model as well.

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The Sequence Chat: Emmanuel Turlay – CEO, Sematic

TheSequence

ML Engineers want to focus on writing Python logic, and visualizing the impact of their changes quickly. high-memory for data processing, GPUs for train/eval, small VMs to extract reports, etc.), Could you please tell us about the vision and inspiration behind this project? and will allocate them accordingly at runtime.

ML 97