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  3. Hugging FaceFirst-partyAnalysis
    AI score62

    Author trained six models in two days using ML Intern prompts

    Hugging Face blogger yvrjsharma released seven prompts they used with ML Intern and showcased six projects completed within two days, including a citrus disease VLM based on Qwen3.5-2B, a Huggy character LoRA for FLUX.2 klein 4B, a camera viewpoint LoRA and a doodle LoRA for Qwen-Image 2.1, Pocket Rewriter 0.8B/2B distilled models, and a version of Agate Preview 002 distilled from 50 steps to 4 steps. The author recommends stating verified facts in prompts, requiring a pre-training baseline and smoke tests with checks, and setting spending caps, for example limiting the citrus project to 12 dollars. All prompts are available on GitHub at yvrjsharma/ml-intern-prompts, and ML Intern mode can be enabled in HuggingChat.

    #Tutorials / practice#Agents#English text is being prepared.

  6. arenaAnalysis
    AI score66

    English translation is being prepared.

    Quoted postClaude · @claudeai

    Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5. https://t.co/jm06cZJfkV

    #Evaluations / benchmarks#English text is being prepared.#Anthropic