Airtrain AI

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

@AIatMeta Try the playground today 👉 app.airtrain.ai

🆕 @AIatMeta's Llama 3.3 70B is now live on the Airtrain LLM Playground. Dive in and vibe check 40+ large language models simultaneously. 🔍

Why Your AI's Data Matters x.com/i/broadcasts/1…

Don’t miss the conversation on Friday, register now: → linkedin.com/events/7269823…

📢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.

Better performance doesn’t always come with a bigger price tag. What matters most to you? For more, read our post 🔗: airtrain.ai/blog/how-15-to…

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

For more information about the Airtrain SDK, visit: Airtrain SDK docs → docs.airtrain.ai/docs/airtrain-… Airtrain SDK PyPI package → pypi.org/project/airtra…

🚨 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.

Check out the Airtrain LLM playground today 👉 app.airtrain.ai

🔔DING DING! Anthropic’s Claude 3.5 Haiku is live on the Airtrain LLM Playground. Now you can vibe check up to 40 LLMs simultaneously!

View the [AI News] dataset here ➡️ app.airtrain.ai/dataset/7decd2…

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.

Get started today. Read the docs: 👉 docs.airtrain.ai/docs/llamaindex

🚨 New integration alert: @llama_index! Now you can use your LlamaIndex pipeline to upload data to Airtrain.

Get started in the Playground for free ➡️ app.airtrain.ai

👀 Guess what?! We’ve added the latest @AnthropicAI Sonnet 3.5 model to the Airtrain LLM Playground. Simultaneously query and compare SOTA models! #LLMVibeCheck

For more insights about LLM cost vs. performance on classification tasks, click the link below 🔗: airtrain.ai/blog/how-15-to…

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.

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 ⬇️