Investors and industry professionals are still very split on how frameworks are going to play out as businesses. LangChain is the obvious one here, but there are a lot of other emerging frameworks w/ companies forming around them. AutoGPT comes up a lot in this context.
@mattlynley
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LLM Benchmark Debate: Comparing Model Performance Standards
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That's led to this very weird debate over how to explicitly benchmark how these perform against each other. There's no great consensus on how to compare one against each other, and many (like Falcon 40B) are using leaderboards as their selling point.
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Meta’s LLaMA Supercharges Open Source LLM Ecosystem Growth
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First, the obvious: the explosion of OSS models. Meta supercharged the OSS LLM ecosystem with the launch of LLaMA, which has both powered _and_ inspired a new generation of OSS models like MPT, INCITE, etc—and many startups building them like @MosaicML and @togethercompute
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Transformers Paper Anniversary: Six Years of LLM Progress
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This also coincides roughly (June 12, to be exact) with the six-year anniversary of the release of the seminal Transformers paper, which made all of the developments in LLM possible in the first place—even if we're starting to run into some of the limitations it presents.
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Databricks Conference 2023: Mid-Year Industry Review
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We're at the halfway point for 2023, which might as well feel like a decade. It ended with an exclamation point as the Databricks conference came to a close on Friday. I thought it was as good a time as any to revisit some of the bigger topics I'd followed in the industry.
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Palm Pre iTunes vibes: tech product failure echoes
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Getting some Palm Pre in iTunes vibes here lol
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OpenAI assistants, healthcare AI, and Unity’s AI content generation
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Stories featured this issue from @aaronpholmes (OpenAI getting into personal assistants), @SteveLohr (AI use in healthcare), @yiqinsh + @BTLipschultz (secondary market frenzy for AI shares), @BarbaraOrtutay (intv w/ John Riccitiello on Unity getting into AI-generated content).
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Language Models and Vector Search Development Pace Accelerates
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Which one wins out is still not exactly clear. But the blistering pace of development (and deployment) for language and diffusion models is going to tell us very quickly—particularly with MongoDB also getting into vector search as of last week.
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Databricks vs Snowflake: Different Approaches to Data
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Databricks' philosophy to addressing modern data use cases is quite different than Snowflake's, which relies on extensive partner networks to do a lot of the heavy lifting. We saw that in the announcements for both companies this week (with conferences on exactly the same days).
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Databricks acquires MosaicML for ML model building platform
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It also said it was acquiring MosaicML for $1.3 billion, giving it another piece of the new NEW data stack—building and serving ML models from scratch. The explosion of LLMs, it seems, is as good a time as any to re-re-bundle the data stack.