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@anjali shared a link, 10 months, 1 week ago
Customer Marketing Manager, Last9

Instrument LangChain and LangGraph Apps with OpenTelemetry

Understand how to trace, monitor, and debug LangChain and LangGraph apps using OpenTelemetry, down to chains, tools, tokens, and state flows.

LangChain & LangGraph
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@faun shared a link, 10 months, 1 week ago
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I’m Losing All Trust in the AI Industry

AI bigwigs promiseAGIin a quick 1-5 years, but the revolving door at labs like OpenAI screams wishful thinking. As AI hustles to serve up habit-forming products, the priority on user engagement echoes the well-troddensocial mediaplaybook. Who needs productivity, anyway? Cash fuels AI's joyride, with.. read more  

I’m Losing All Trust in the AI Industry
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@faun shared a link, 10 months, 1 week ago
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EU businesses push for freedom from AI rules and competition

Mistral's"AI for Citizens" isn't just about tech; it's about shaking up public services for the better. Meanwhile, in the EU, a plot twist—50 European firms holler for halting the AI Act, all in the name of staying competitive. They argue speed matters more than red tape. But hey, watchdogs eye them.. read more  

EU businesses push for freedom from AI rules and competition
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@faun shared a link, 10 months, 1 week ago
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Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference

Gemma 3nshakes up mobile AI with a two-punch combo:Per-Layer Embeddingsthat axe RAM usage andMatFormerthat sends performance into overdrive with elastic inference and nesting.KV cache sharingcranks up the speed of streaming responses, though it taps out at multilingual audio processing for clips up .. read more  

Gemma 3n Introduces Novel Techniques for Enhanced Mobile AI Inference
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@faun shared a link, 10 months, 1 week ago
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From Noise to Structure: Building a Flow Matching Model from Scratch

Train a petite neural net to align velocity flows between distributions. DeployFlow Matching lossfor the job. Harness the precision of theAdamoptimizer to keep it sharp... read more  

From Noise to Structure: Building a Flow Matching Model from Scratch
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@faun shared a link, 10 months, 1 week ago
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Massive study detects AI fingerprints in millions of scientific papers

Study finds 13.5% of 2024 PubMed papers bear LLM fingerprints, showcasing a shift to jazzy "stylistic" verbs over stodgy nouns.Upending stuffy academic norms!.. read more  

Massive study detects AI fingerprints in millions of scientific papers
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@faun shared a link, 10 months, 1 week ago
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From Big Data to Heavy Data: Rethinking the AI Stack

Savvy teams morph dense data into AI’s favorite meal: bite-sized chunks primed for action, indexed and ready to go. This trick spares everyone from slogging through the same info over and over. AI craves structured, context-filled data to keep it grounded and hallucination-free. Without structured p.. read more  

From Big Data to Heavy Data: Rethinking the AI Stack
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@faun shared a link, 10 months, 1 week ago
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LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI

Dump BLEU and ROUGE. Let LLM-as-a-judge tools like G-Eval propel you to pinpoint accuracy.The old scorers? They whiff on meaning, like a cat batting at a laser dot.DeepEval? It wrangles bleeding-edge metrics with five lines of neat code.Want a personal touch? G-Eval's got your back. DAG keeps benchm.. read more  

LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI
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@faun shared a link, 10 months, 1 week ago
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Building tiny AI tools for developer productivity

Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think... read more  

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@faun shared a link, 10 months, 1 week ago
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MCP — The Missing Link Between AI Models and Your Applications

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

MCP — The Missing Link Between AI Models and Your Applications
Apigee is an enterprise-grade API management platform that helps organizations build, manage, and secure APIs at scale. It provides a centralized control plane for exposing backend services as APIs while enforcing security, traffic management, and governance policies.

Apigee supports the complete API lifecycle, including design, versioning, deployment, monitoring, and monetization. It acts as an API gateway, handling concerns such as authentication, authorization, rate limiting, quotas, caching, request transformation, and threat protection without requiring changes to backend services.

The platform offers deep analytics and observability, allowing teams to track API usage, latency, error rates, and consumer behavior. These insights help improve API reliability, performance, and product decisions. Apigee also includes developer portal capabilities, enabling organizations to onboard external and internal developers, publish API documentation, and manage API keys.

Apigee integrates natively with Google Cloud services and supports hybrid and multi-cloud deployments, allowing APIs to run on-premises, in Google Cloud, or across other cloud providers. It supports modern architectures including microservices, Kubernetes-based backends, and service meshes, and is commonly used in regulated industries that require strong security and compliance controls.