Airtrain AI

Airtrain AI is the AI-powered data processing platform that helps enterprise data science teams organize the chaos.

[Airtrain AI @AirtrainAI]

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

[Airtrain AI @AirtrainAI]

@AIatMeta Try the playground today 👉 https://t.co/VMvUprJhZP

[Airtrain AI @AirtrainAI]

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

[Pete Pachal @petepachal]

Why Your AI's Data Matters https://t.co/MCmjPoIvtt

[Airtrain AI @AirtrainAI]

Don’t miss the conversation on Friday, register now: → https://t.co/1uo8z1y8eQ

[Airtrain AI @AirtrainAI]

📢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.

[Airtrain AI @AirtrainAI]

Better performance doesn’t always come with a bigger price tag. What matters most to you?

For more, read our post 🔗:

https://t.co/qZ89UlWqQI

[Airtrain AI @AirtrainAI]

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

[Airtrain AI @AirtrainAI]

For more information about the Airtrain SDK, visit:
Airtrain SDK docs → https://t.co/TGRXsS0f58
Airtrain SDK PyPI package → https://t.co/7z4KNSXmAn

[Airtrain AI @AirtrainAI]

🚨 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.

[Airtrain AI @AirtrainAI]

Check out the Airtrain LLM playground today 👉 https://t.co/VMvUprJhZP

[Airtrain AI @AirtrainAI]

🔔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!

[Airtrain AI @AirtrainAI]

View the [AI News] dataset here ➡️ https://t.co/F8gMiDlVx8

[Airtrain AI @AirtrainAI]

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

[Airtrain AI @AirtrainAI]

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.

[Airtrain AI @AirtrainAI]

Get started today. Read the docs: 👉 https://t.co/Zxa6wBYEWp

[Airtrain AI @AirtrainAI]

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

[Airtrain AI @AirtrainAI]

Get started in the Playground for free ➡️ https://t.co/VMvUprJhZP

[Airtrain AI @AirtrainAI]

👀 Guess what?! We’ve added the latest @AnthropicAI Sonnet 3.5 model to the Airtrain LLM Playground.

Simultaneously query and compare SOTA models! #LLMVibeCheck

[Airtrain AI @AirtrainAI]

For more insights about LLM cost vs. performance on classification tasks, click the link below 🔗:

https://t.co/qZ89UlWqQI

[Airtrain AI @AirtrainAI]

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 ⬇️

[Airtrain AI @AirtrainAI]

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.