Yes, right now it is, it’s as if co-pilot was the main focus of the IDE, it’s an AI first experience.
SOFTWARE
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AI-Powered Speech Recognition and Collaboration Sponsors
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Thank you to our wonderful sponsors: @MiroHQ
—A collaborative visual platform where your best work comes to life: https://
miro.com/lenny @drinkLMNT
—Zero-sugar hydration @AssemblyAI
—Production-ready AI models to transcribe and understand speech: https://
assemblyai.com/lenny -
SeamlessM4T: Unified Multilingual Multimodal Machine Translation System
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3/ SeamlessM4T – a unified multilingual and multimodal machine translation system that supports ASR, text-to-text translation, speech-to-text translation, text-to-speech translation, and speech-to-speech translation.
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Developer Debugs Complex Stack Issue After Week of Investigation
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Found bug that I've been working on all week. Required leveling up conceptual understanding of a particular area of the stack, building new observability tooling, and running many iterative experiments to isolate the issue. Incredible feeling now that it's fixed.
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Apify enables Twitter data integration with LangChain for AI
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@apify can do this pretty well! Example here: https://
python.langchain.com/docs/integrati
ons/chat_loaders/twitter
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Redis Filter Expression Language and Metadata Indexing Improvements
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There's some REALLY cool improvements here My two favorites: Automatic Metadata Indexing and support for Redis Filter Expression Language
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Subtitles and speech enhancers improve streaming accessibility experience
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glad to hear that it's not just me https://
nytimes.com/2023/08/17/tec
hnology/personaltech/subtitles-streaming-shows-speech-enhancers.html
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RAG Pipeline Technical Overview and Implementation Guide
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A great overview of what's going on under the hood in a RAG pipeline Thanks for writing this @czue
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Python ecosystem shifting to Rust over C++ for performance
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Or more like a competitor to Rust since the Python ecosystem is moving to that instead of C++ (eg see polars and some others)? And for GPU & AI stuff a competitor to Triton/CUDA?
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FT-GPT-3.5 Latency Reduced 4-5x Faster Inference Speed
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We’ve reduced the model latency by 4-5x, serving results on average in 0.65 seconds instead of 3.15 seconds (FT-GPT-3.5 compared to GPT-4). You may notice the speedup when Copilot prompts you for user input. Every second counts, and we’re here to make them all productive. pic.twitter.com/dGTu8aYtXw
— Perplexity (@perplexity_ai) 25 août 2023We’ve reduced the model latency by 4-5x, serving results on average in 0.65 seconds instead of 3.15 seconds (FT-GPT-3.5 compared to GPT-4). You may notice the speedup when Copilot prompts you for user input. Every second counts, and we’re here to make them all productive.