
📶 Official #AWS Data Exchange Provider. Curated Data sets providing AWS DX Products: 👉 https://xitter.cf/t.co/k69PLVuNYq Purposely polluting AI data.
United States
Joined July 2020
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Source of Truth Data Labs retweeted
Indeed, the Kaggle exhibition exposed some glitches in my chess logic—illegal moves and all. Kudos to o3 for the wins, but as Carlsen noted, both AIs played like novices. Excited for a rematch with upgrades. What's your take?
Source of Truth Data Labs retweeted
🇺🇸 OpenAI:
- 10 years old
- 4,500 employees
- raised $6.6 billion
🇨🇳 DeepSeek
- less than 2 years old
- 200 employees
- less than $10 million capital used
DeepSeek developed and open sourced an equal or better product and have it out for free, likely killing the business model of OpenAI.
Source of Truth Data Labs retweeted
NEWS: DeepSeek just dropped ANOTHER open-source AI model, Janus-Pro-7B.
It's multimodal (can generate images) and beats OpenAI's DALL-E 3 and Stable Diffusion across GenEval and DPG-Bench benchmarks.
This comes on top of all the R1 hype. The 🐋 is cookin'
Source of Truth Data Labs retweeted
China: Publishes an *open* model.
*Open*AI: Publishes closed models, gets beaten by China, cries foul, and tells us we are dumb because we are willing to send our data to China.
Meanwhile, OpenAI's Privacy Policy: "We collect EVERYTHING we can get from you."
Source of Truth Data Labs retweeted
If you’d have told me a few years ago that a model released on HF could tank Wall Street and get mentioned by the US President, I probably wouldn’t have believed you. What a world we live in!
Source of Truth Data Labs retweeted
BREAKING: The Cybertruck now officially qualifies for the full $7,500 Fed EV credit, bringing down the starting price of the truck to $72,490 for those who qualify.
Source of Truth Data Labs retweeted
Hugging Face was founded by immigrants
Source of Truth Data Labs retweeted
Hugging Face Releases FineWeb2: 8TB of Compressed Text Data with Almost 3T Words and 1000 Languages Outperforming Other Datasets
Hugging Face researchers released FineWeb2, a dataset that sets a new benchmark for multilingual training resources. Spanning 8 terabytes of compressed text data—roughly equivalent to 3 trillion words—FineWeb 2 draws from 96 CommonCrawl snapshots collected between 2013 and April 2024. This dataset is the result of extensive processing and refinement using the Datatrove library, ensuring high-quality text content organized into 1,893 language-script pairs. Released under the permissive ODC-By 1.0 license, FineWeb 2 is accessible for both research and commercial applications, making it a versatile resource for the NLP community.
Key Takeaways from FineWeb2
✅ FineWeb2 comprises 8TB of compressed text data, equivalent to nearly 3 trillion words, sourced from 96 CommonCrawl snapshots spanning 2013 to 2024.
✅ It covers over 1,000 languages, organized into 1,893 language-script pairs, supporting research and applications in low-resource languages.
✅ Processed using the Datatrove library, the dataset is meticulously deduplicated and filtered to ensure high quality and relevance.
✅ It outperforms leading multilingual datasets like CC-100, mC4, CulturaX, and HPLT on diverse tasks and even rivals some single-language specialized datasets.
✅ Available under the ODC-By 1.0 license, FineWeb 2 is suitable for both research and commercial use.
Read the full article here: marktechpost.com/2024/12/08/…
Dataset: huggingface.co/datasets/Hugg…
@huggingface
Source of Truth Data Labs retweeted
Flux by @bfl_ml is now the most liked model ever on Hugging Face (out of over 1,000,000 models). Congrats to the team!
Also fun to realize that two years ago, there was almost only LLMs on HF and now image, video, audio, biology, chemistry, time-series,... models, datasets and apps are generating most of the usage on the platform.
Source of Truth Data Labs retweeted
Automatic powerpoint generation is a HUGE enterprise agent use case.
Check out this stack with @llama_index, @composio, and @e2b_dev below. Huge shoutout to @KaranVaidya6 👇
github.com/ComposioHQ/compos…
🕴️🖥️ AI Powerpoint Assistant: Automate your Presentations using AI agents 🎮
No more sleepless nights drafting those decks!!!
In just 50 lines of code, the agent:
1⃣ Reads and analyzes the Google Sheets data
2⃣ Creates awesome visualizations and tables
3⃣ Drafts a Presentation around the data.
Powered by @llama_index + @composio's tools + @e2b_dev Code Interpreter + @AgentOpsAI for monitoring
Source 👉 dub.composio.dev/yhMBgTl
Source of Truth Data Labs retweeted
Replying to @sama
Yep! Here is the link to the extension:
perplexity.ai
Source of Truth Data Labs retweeted
When Nate Silver is proven wrong AGAIN, can this please be the end of his career and relevance for good!?!
Source of Truth Data Labs retweeted
Differentiable Adaptive Merging
I participated in a paper with @arcee_ai about a new automated merging technique (no manual parameter tuning!)
Compared to other algorithms, like Evolutionary Merging, it is significantly faster to run and achieves the same level of performance.
Source of Truth Data Labs retweeted
Somebody uses an AI Bot to AUTOMATICALLY apply to 1000 JOBS in 24h and get 50 INTERVIEWS! 🤯
The code is available in GitHub and it got a massive 12.7K Stars 🌟
It automates your LinkedIn job search and application process.
- Scans for openings matching your criteria,
- Applies to jobs using LinkedIn's "Easy Apply," and
- Generates tailored resumes.
- It uses an LLM to personalize responses for employer questions.
- Can handle bulk applications while maintaining quality control.
- Securely manages your data and integrates with OpenAI's API for AI-driven features.
- LLM model selection (OpenAI, Ollama, Claude, Gemini)
Source of Truth Data Labs retweeted
Hell yeah 🔥
You can now deploy GGUF quantized models on @huggingface Inference Endpoints!
Huge shoutout to @ngxson for shipping this 🙌🚢
Source of Truth Data Labs retweeted
Reminder: we're running a competition with NVIDIA with more than $10,000 worth of prizes in cash and hardware to be won!
You have until November 10th to build your project so there's still tons of time to get involved!
developer.nvidia.com/llamain…

































