Allan Chan

Workflows v2 just dropped including multiple paths, multiple charts, loops, and a brand new refined UX. Grab more details at https://lnkd.in/gEN_9Gvy and come give it a try! Observability reimagined just keeps getting better. 🚀

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Daniel Wilson and Reza Rassool Thanks for the opportunity to join the conversation, and more importantly to contribute to the critical work of Kwaai Personal AI -- turning AI into a meaningful benefit versus a threat in people's lives. (My comments start about 30 min in, after Reza's introduction to Kwaai))

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Thanks Joanne Chen and Jaya G. from Foundation Capital for the nod! Great to be in the cohort of top notch AI companies. Observability data is untapped goldmine of information, but when the time comes (in the middle of incident), it still requires "expert" skills to find the needle in the haystack. We at Deductive AI are democratizing the expertise to everyone in the organization.

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The moose is finally loose! We've released the alpha version of MooseJS - an open source developer framework for the data/analytics stack. Read more about it on our blog here: https://lnkd.in/gx6p4twq We’re still early in our journey and would love to get feedback. If you’re doing any of the following, then Olivia Kane and I would love to talk to you. I promise you, we feel your pain, and we want to hear more about it :)  - Writing any software that’s all about capturing data / generating insights  - Maintaining a data/analytics stack for your organization - Architecting a new application, and figuring out how data/analytics might fit in

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Scale3's LangTrace.ai SDK now supports native open telemetry(o11y) tracing for LlamaIndex This allows developers to utilize o11y tracing to ship, debug, and evaluate AI applications more efficiently across various observability tools such as SigNoz, Grafana Labs Labs, Datadog, and honeycomb.io 🔍 Why is o11y tracing crucial? With open telemetry (a CNCF project), engineering teams gain a standard data model for telemetry that supports high cardinality. This is vital as it provides flexibility, prevents vendor lock-in, and helps in quicker debugging and insights, especially important in systems utilizing LLMs and VectorDBs. 👨‍💻 Meet Langtrace.ai  Langtrace.ai from Scale3 helps you gain confidence with LLMs before taking your application to production. If you are using OpenAI's APIs or vector DB's for any of your products, this could help with: **Tracking the responses made by the LLM **Evaluating and measuring the accuracy of responses **Identify bottlenecks. Best part - It's full Open Source and has native Open Telemetry support. https://langtrace.ai/ https://lnkd.in/grYfWsbP We’re thrilled to roll out native o11y support for LlamaIndex, making it easier for developers to harness the power of AI while maintaining transparency and control over their applications. Interested in o11y tracing for LLM applications or want to contribute to Langtrace? Let’s connect! 🚀 https://langtrace.ai/ # OpenTelemetry #ai

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Gemini 1.5 Flash’s 1 mllion token context window, low latency, and cost efficiency have quickly made it a favorite among our customers. Check out the advantages of Gemini 1.5 Flash over comparable models like GPT 3.5 Turbo: ⚡ Gemini 1.5 Flash's 1 million token context window is approximately 60x bigger than the context window provided by GPT-3.5 Turbo ⚡ On average, Gemini 1.5 Flash is 40% faster than GPT-3.5 Turbo when given input of 10,000 characters ⚡ Gemini 1.5 Flash is up to 4X lower on input price than GPT-3.5 Turbo, with context caching enabled for inputs larger than 32,000 characters. Learn more about Gemini 1.5 Flash—now generally available on Vertex AI ↓

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