Ever wanted to explore @Smol_AI’s [AI News] newsletter in a new way? Airtrain AI’s Joshua Bauer @josh_sematic created this dataset of recent AI News editions complete with topic-based semantic clusters and embedding visualizations. cc @swyx
📢How important is high-quality data for today’s professionals? Find out during this LinkedIn Live event on Friday, 12/6 at 8 AM PT / 11 AM ET / 5 PM CET. Join Pete Pachal @themediacopilot as he interviews Emmanuel Turlay (Airtrain AI) about the demand for AI data.
Not all LLMs are created equal — especially when considering accuracy and cost. Via our recent research:
• Highest accuracy: Claude 3.5 Sonnet at 95.44%
• Best cost-efficiency: GPT-4o Mini delivers 94.21% accuracy for $0.12 per 1,000 rows
• Balanced pick: LLAMA 3.1 70B
🚨 New feature alert: The Airtrain SDK – a custom Airtrain experience via the command line.
With the Airtrain SDK, users can now:
✅ Upload custom embeddings to Airtrain
✅ Import data to Airtrain via Apache Arrow, LlamaIndex, Pandas, or Polars
Get started today.
Ever wanted to explore @Smol_AI’s [AI News] newsletter in a new way? Airtrain AI’s Joshua Bauer @josh_sematic created this dataset of recent AI News editions complete with topic-based semantic clusters and embedding visualizations. cc @swyx
It was a proud moment when our Founder/CEO Emmanuel Turlay @neutralino1 joined noted AI leaders and 600+ attendees at the Ai Summit last weekend.
Emmanuel spoke about the importance of understanding your data, the need for AI classification and labeling, and more.
👀 Guess what?! We’ve added the latest @AnthropicAI Sonnet 3.5 model to the Airtrain LLM Playground.
Simultaneously query and compare SOTA models! #LLMVibeCheck
Curious how SOTA LLMs perform on classification tasks? We benchmarked 15 top LLMs and evaluated the performance/cost tradeoff. Check out our key findings below ⬇️
3/ LLAMA 3.1 70B is an excellent option for users seeking a balance between cost and accuracy.
We also discovered that higher costs don’t always guarantee superior performance.