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Sunday, 5 May 2024

Data Machina #251

Substack 2 years ago 39

This newsletter curates six AI activities for a long weekend, including generating comics with ByteDance's StoryDiffusion model, learning to build AI agents using CrewAI and Groq, playing the AI Town game locally with Llama-3, reading research on in-context learning versus fine-tuning, reviewing Scale AI's 2024 readiness report surveying 1,800 practitioners, and studying a primer on differentiable programming for neural networks. Key concrete detail: Scale AI's research team interviewed 1,800 AI/ML practitioners for their 2024 State of AI Readiness Report. The article signals growing interest in practical AI agent development and debate within the research community about whether in-context learning with long-context models can replace fine-tuning for domain-specific accuracy.

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AI Agents Fine-tuning

Introducing the Open Leaderboard for Hebrew LLMs!

Hugging Face 2 years ago 42

A new open leaderboard has been created to evaluate large language models specifically for Hebrew, addressing gaps in existing benchmarks that fail to account for the language's morphological complexity. The leaderboard includes four evaluation tasks: Hebrew question answering, sentiment analysis, pronoun resolution (Winograd Schema Challenge), and English-Hebrew translation, with models automatically deployed and assessed via HuggingFace's Inference Endpoints. This creates a platform for researchers to submit and compare Hebrew language models while identifying areas for improvement in Hebrew NLP development.

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AI Benchmarking Language Models

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