On this case, any piece of SME that features inside it a semiconductor chip that was made using U.S. A chip from Microsoft displays a necessity to cut prices while scaling giant models. They offer quite a lot of resources including a e-newsletter, podcast, webinars, occasions, and analysis, all aimed toward fostering the adoption and scaling of AI applied sciences in enterprise. China is an "AI struggle." Wang's company supplies coaching data to key AI gamers together with OpenAI, Google and Meta. You don’t need to be a Google Workspace user to entry them. Note that we skipped bikeshedding agent definitions, but if you really want one, you could possibly use mine. SWE-Bench paper (our podcast) - after adoption by Anthropic, Devin and OpenAI, in all probability the highest profile agent benchmark at this time (vs WebArena or SWE-Gym). Kyutai Moshi paper - an impressive full-duplex speech-textual content open weights mannequin with excessive profile demo. What they did: They initialize their setup by randomly sampling from a pool of protein sequence candidates and selecting a pair which have excessive health and low editing distance, then encourage LLMs to generate a brand new candidate from both mutation or crossover. The model’s creators have overtly acknowledged that it leverages present frameworks, doubtlessly even ChatGPT outputs.
They're additionally combining textual content generated by ChatGPT with illustrations from platforms equivalent to DALL-E, and bringing their creations to market immediately online. In actuality there are not less than four streams of visual LM work. Much frontier VLM work today is not published (the last we really obtained was GPT4V system card and derivative papers). The Stack paper - the unique open dataset twin of The Pile targeted on code, starting an incredible lineage of open codegen work from The Stack v2 to StarCoder. MuSR paper - evaluating lengthy context, subsequent to LongBench, BABILong, and RULER. DALL-E / DALL-E-2 / DALL-E-3 paper - OpenAI’s picture generation. In July 2017, China’s state council put forth the "New Generation Artificial Intelligence Plan," declaring its desire to construct a "first-mover advantage in the event of AI." The plan also declared that by 2025, "China will achieve main breakthroughs in basic theories for AI" and by 2030, China will become "the world’s major AI innovation center." The investments from this plan centered on college research and helped China’s domestic talent base in machine learning and AI. To see the divide between the perfect synthetic intelligence and the mental capabilities of a seven-year-previous little one, look no additional than the favored video game Minecraft.
AudioPaLM paper - our last take a look at Google’s voice ideas before PaLM turned Gemini. Today, Genie 2 generations can maintain a constant world "for as much as a minute" (per DeepMind), but what may or not it's like when these worlds last for ten minutes or extra? Before Tim Cook commented in the present day, OpenAI CEO Sam Altman, Meta's Mark Zuckerberg, and plenty of others have commented, which you'll learn earlier in this stay weblog. The group behind DeepSeek AI claim to have developed the LLM in 2 months on a (relatively) modest price range of $6 million. Fire-Flyer began building in 2019 and finished in 2020, at a price of 200 million yuan. We provide various sizes of the code model, ranging from 1B to 33B versions. Open Code Model papers - choose from DeepSeek-Coder, Qwen2.5-Coder, or CodeLlama. GraphRAG paper - Microsoft’s take on adding information graphs to RAG, now open sourced. Many regard 3.5 Sonnet as one of the best code model but it surely has no paper. CriticGPT paper - LLMs are recognized to generate code that can have security issues. What are intractable issues? Versions of these are reinvented in each agent system from MetaGPT to AutoGen to Smallville. Multimodal variations of MMLU (MMMU) and SWE-Bench do exist.
MMLU paper - the main data benchmark, next to GPQA and Big-Bench. In 2025 frontier labs use MMLU Pro, GPQA Diamond, and Big-Bench Hard. Frontier labs deal with FrontierMath and exhausting subsets of MATH: MATH degree 5, AIME, AMC10/AMC12. In 2025, the frontier (o1, o3, R1, QwQ/QVQ, f1) will be very a lot dominated by reasoning fashions, which don't have any direct papers, however the essential knowledge is Let’s Verify Step By Step4, STaR, and Noam Brown’s talks/podcasts. CodeGen is one other discipline where much of the frontier has moved from analysis to trade and sensible engineering advice on codegen and code agents like Devin are only found in trade blogposts and talks reasonably than research papers. Automatic Prompt Engineering paper - it's more and more obvious that people are horrible zero-shot prompters and prompting itself can be enhanced by LLMs. The Prompt Report paper - a survey of prompting papers (podcast). Section three is one space the place reading disparate papers may not be as helpful as having extra sensible guides - we advocate Lilian Weng, Eugene Yan, and Anthropic’s Prompt Engineering Tutorial and AI Engineer Workshop. Certainly one of the most well-liked trends in RAG in 2024, alongside of ColBERT/ColPali/ColQwen (extra in the Vision part).
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