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{Jules Damji}=πŸ’»πŸ“šπŸ“
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{Jules Damji}=πŸ’»πŸ“šπŸ“

@2twitme
Developer@heart; Advocate by nature; Communicator & Cosmopolitan by choice | Arsenal Fan by Inheritance| Love Reading, Writing, Coding | Tweets R Mine
San Francisco
mazungumzo.wordpress.com
Joined August 2008
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  • Pinned
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    {Jules Damji}=πŸ’»πŸ“šπŸ“
    @2twitme
    Jun 24, 2020
    Major kudos to my coauthors, the best team and an exemplary case #datateams united.
    user avatar
    Matei Zaharia
    Databricks
    @matei_zaharia
    Jun 24, 2020
    Replying to @matei_zaharia
    Also excited to announce that all @SparkAISummit attendees will get a free ebook copy of the new version of Learning Spark, updated for #ApacheSpark 3.0 and authored by @2twitme, Brooke Wenig, @tathadas and @dennylee.
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    {Jules Damji}=πŸ’»πŸ“šπŸ“
    @2twitme
    Aug 8
    This a good read at many levels on mitigating today’s exponential AI budgets by strategic β€˜efficiency frontier’ means. Take a read.
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    Matei Zaharia
    Databricks
    @matei_zaharia
    Aug 7
    AI tokens are another resource to optimize in software engineering now. My cofounder @pwendell wrote about how we and other tech companies are starting to manage this resource now, by routing everything through an AI Gateway. This enables centralized analysis (e.g. we found
  • user avatar
    {Jules Damji}=πŸ’»πŸ“šπŸ“
    @2twitme
    Aug 7
    Your agents work in the sandbox. Do they survive real traffic? πŸŒͺ️ Join us on Wednesday, August 12, at the Databricks SF office for an Agentic + AI Observability meetup with Databricks and OpenAI. We are digging into real meta-harness architectures, production governance... πŸ‘‡
  • user avatar
    {Jules Damji}=πŸ’»πŸ“šπŸ“
    @2twitme
    Aug 6
    Building an AI agent is easy. Keeping it reliable in production is the hard part. πŸ₯Š On Wednesday, August 12, we are hosting an Agentic + AI Observability meetup at the Databricks SF office with speakers from Databricks and OpenAI. πŸ‘‡
  • user avatar
    {Jules Damji}=πŸ’»πŸ“šπŸ“
    @2twitme
    Aug 4
    Just dropped the final episode of our 10-part series on Mastering @MLflow for #GenAI
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    MLflow
    @MLflow
    Aug 4
    Final tutorial in Mastering MLflow for GenAI πŸ‘‡ @2twitme builds a LangGraph multi-agent supervisor with MLflow: πŸ”€ Route to Genie-like + knowledge agents, then synthesize one answer πŸ”Ž Span-level tracing + 60+ scorers πŸ“ Custom @Scorer for routing accuracy vs ground truth
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