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News for “do”
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Moozonian News
bing.com• Sep 19, 2024• 1 min read
Porsche's 6-stroke engine doubles up on power and compressionIntake, compression, power, then exhaust. Every 4-stroke engine ever made – about 80% of all engines currently in existence – function on this principle – even rotary engines. But now, Porsche has ...
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Moozonian News
bing.com• Sep 13, 2024• 1 min read
Don’t Sweat the Small DecisionsDecisions take time. Choosing a new apartment or deciding whether to change jobs are problems with many dimensions that need to be carefully balanced. There are methods to make better decisions, and ...
Moozonian News
bing.com• Sep 13, 2024• 1 min read
How Stump Speeches by Harris and Trump Differ (and Don’t)An examination of a month’s worth of rally speeches revealed sharp contrasts in how closely the candidates stick to the script — and the facts. By Linda Qiu and Dylan Freedman Reporting from ...
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Moozonian News
bing.com• Sep 11, 2024• 1 min read
Adobe After Effects 25 features 3D and motion design upgradesThe forthcoming After Effects 25 will debut a major set of improvements to make it easier to animate and blend 3D objects seamlessly with real-world footage and 2D elements. Customers have been ...
Moozonian News
github.com• Sep 4, 2024• 1 min read
Show HN: Laminar – Open-Source DataDog + PostHog for LLM Apps, Built in RustHey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust.How is Laminar different from the swarm of other “LLM observability” platforms?On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI semantic conventions. As LLM apps get more complex (think Agents with hundreds of LLM and function calls, or complex RAG pipelines), full tracing is critical. With Otel spans, we can: 1. Cover the entire execution trace. 2. Keep the platform future-proof 3. Leverage an amazing OpenLLMetry (https://github.com/traceloop/openllmetry), open-source package for span production.The key difference is that we tie text analyti