GPT-5.3 Instant gives you more accurate answers. When using web search, you also get:
- Sharper contextualization
- Better understanding of question subtext
- More consistent response tone within the chat
Introducing shopping research, a new experience in ChatGPT that does the research to help you find the right products.
Itโs everything you like about deep research but with an interactive interface to help you make smarter purchasing decisions.
Launching background agents and a mobile app for Claude code. Code from anywhere! โจ@PrismCoder
Go to https://t.co/P9hdY8xHFD to join! To get instant access, like and reply โPrism codesโ
@SinclairWang1@essential_ai@FaZhou_998 Hey @sinclairwang1! Apologies, we definitely should include MegaMath-Web-Pro. Launching an experiment right now and will update the tables and corresponding section with the results. We think MegaMath rocks!
@SinclairWang1@essential_ai@FaZhou_998 If there are any datasets from MegaMath Web that are better representative of its performance before LLM rewriting, we are happy to update Table 3.
@SinclairWang1@essential_ai@FaZhou_998 We only report filtered web data as our goal is to purely measure the effects of different filtering methods to benchmark the performance of EAI-Taxonomy.
@SinclairWang1@essential_ai@FaZhou_998 Hey @SinclairWang1 and @FaZhou_998! We ran with MegaMath Web Pro and reported the (very strong) performance in Appendix A.7. We have also added a clear explanation that all the evaluated datasets are filtered web data without any LLM intervention.
Check out what the Data Team at @essential_ai has been cooking! It's been a blast preparing this dataset and super excited to see what people use it for. Shoot me a DM with any questions or cool use cases.
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๐ Meet Essential-Web v1.0, a 24-trillion-token pre-training dataset with rich metadata built to effortlessly curate high-performing datasets across domains and use cases!
Thrilled to announce our company, https://t.co/eAn8liymKY ๐
We are in an exciting era of human-computer collaboration evolving the way we will reason with, process and generate information.
At Essential AI, we are passionate on advancing capabilities in planning, reasoning, tool use and continual learning that will be critical to bridge the knowledge and skill gap between humans and computers.
I'm thrilled to announce our company, @essential_ai . We believe that breakthroughs in AI will unlock the most profound tools for thought, advancing humanity's collective knowledge and capability.
https://t.co/unA2spJDDR
LLMs can directly extract structured data (esp w/ Function API), but can be slow/expensive. ๐ค
Instead: use LLMs to generate code, run code to extract data ๐ก
We now have code-based extraction in @llama_index - extract dfโs from arbitrary text ๐งโ๐ป
https://t.co/Iq1SucKwp4
LMs can be expensive for document processing. E.g., inference over the 55M Wiki pages costs >$100K (>$0.002/1k toks)๐ฐ We propose a strategy that reduces inference cost by 110x and can even improve quality vs. running inference over each doc directly!
๐ปโ https://t.co/sDqvxSGyLE