There's, of course, Llama 2 and its downstream effects. But reviewing everything that happened this month (both in public and in private conversations) it turns out Meta hit the bullseye on timing here.
@mattlynley
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Tech Leaders Discuss AI Strategy in Q1 Earnings Reports
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Here’s a (slice) of what Mark Zuckerberg, Sundar Pichai, and Satya Nadella said about AI in their earnings this quarter, ranging from open source models to how Meta plans to monetize Llama 2.
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Tech Executives Use Doublespeak to Appease Bankers
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Of course this is all just doublespeak from executives who have more than a decade of experience placating bankers—hence why I call them the “suits” at this point.
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Meta Plans Llama 2 Monetization Strategy With Cloud Providers
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A lot of the questions centered around closed/open source strategies as well as what Meta planned to do with Llama 2. On the latter, Meta said they would likely be finding a way to monetize it with the major cloud providers serving it—though that’d be small.
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Big Tech AI Strategies After Llama 2 Release
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With the release of Llama 2, executives for Microsoft, Meta, and Google got a lot of questions this week around their AI strategies. Of course earnings reports are generally *bleh*, but we do get a couple tea leaves about strategy from probing baker questions.
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Llama 2 Safetensors Format Standardization by Hugging Face
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Fun little inside aside here, Llama 2 is in safetensors format. Hugging face has done a ton of work to standardize that so that's a pretty big stamp of approval.
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Best Text-to-Speech APIs for Streamlit Applications
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what's your favorite text-to-speech API that's snappy enough to work in a streamlit app?
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Language Models and the Future of AI Development
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Full (free) story can be found here: https://
supervised.news/p/language-mod
els-and-the-future-of
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LLMs Democratize Data Analysis for Non-Technical Analysts
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Now, as you can just use an LLM to potentially handle that latter part, analysts with extensive knowledge in their role—but less skilled in SQL or Python—can have the same level of impact. And in conjunction with a semantic layer it gets significantly more interesting.
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Data Science and Analyst Roles: Title Inflation and Skill Requirements
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"Data science" and "data analyst" became interchangeable as a result of some confusion and title inflation. DS ended up having to deal with the types of problems analysts dealt with (like tracking company metrics), while many open DA positions are looking for stats/Python