Join us

ContentUpdates and recent posts about GPT..
Link
@kala shared a link, 6 days, 22 hours ago
FAUN.dev()

How to build a Frontend for LangChain Deep Agents with CopilotKit!

LangChain recently introduced Deep Agents: a new way to build structured, multi-agent systems that can plan, delegate, and reason across multiple steps. It comes with built-in planning, a filesystem for context, and subagent spawning. But connecting that agent to a real frontend is still surprisingl.. read more  

Link
@kala shared a link, 6 days, 22 hours ago
FAUN.dev()

How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning

NVIDIA shows how to fine-tuneNemotron-Nano-9B-V2to handle new CLI tools - without touching real user data. The trick? A mix ofsynthetic data,reinforcement learning with verifiable rewards (RLVR), and their home-grown trainer stack:NeMo GymplusGRPO. The result: an LLM agent that adapts fast, plays ni.. read more  

How to Train an AI Agent for Command-Line Tasks with Synthetic Data and Reinforcement Learning
Link
@kala shared a link, 6 days, 22 hours ago
FAUN.dev()

The Rise of GPUOps: Where Infrastructure Meets Thermodynamics

GPU demand for AI has shot up 600% since 2020. It’s outpaced the cloud abstractions devs rely on - highlighting a growing gap between slick DevOps dashboards and the gritty realities of heat, cost, and silicon. EnterGPUOps. It's not just a trend - it’s a new layer in the stack. Think observability w.. read more  

The Rise of GPUOps: Where Infrastructure Meets Thermodynamics
Link
@kala shared a link, 6 days, 22 hours ago
FAUN.dev()

Don't fall into the anti-AI hype

The writer recently left their job to explore AI and programming through various projects, including creating a YouTube channel focused on these topics. They discuss how AI is changing the landscape of programming, allowing for faster, more efficient coding methods. Despite concerns about job displa.. read more  

Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

How we built an AI SRE agent that investigates like a team of engineers

Datadog just droppedBits AI SRE, an autonomous agent that thinks more like an SRE than a chatbot. It doesn't just regurgitate summaries - it investigates. It builds hypotheses, tests them against telemetry, and chases down actual root causes. Older tools leaned hard on LLMs to summarize alerts. That.. read more  

How we built an AI SRE agent that investigates like a team of engineers
Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

Preparing for Post-Quantum Cryptography

NIST locked in itsPost-Quantum Cryptography (PQC) standardsin August 2024. The countdown’s on: U.S. federal systems need to make the leap by 2035. Wiz jumped early with aPQC Security Framework. It scans for shaky encryption, maps your crypto assets, and flags what’s PQC-ready, all cloud-wide, using .. read more  

Preparing for Post-Quantum Cryptography
Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

What came first: the CNAME or the A record?

A recent change to 1.1.1.1 accidentally altered the order of CNAME records in DNS responses, breaking resolution for some clients. This post explores the technical root cause, examines the source code of affected resolvers, and dives into the inherent ambiguities of the DNS RFCs... read more  

What came first: the CNAME or the A record?
Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

SSH has no Host header

A dev built a custom SSH proxy that punches through IPv4 limits without handing out public IPs like candy. Their trick:shared IPv4s with per-user relative IP mapping. It maps incoming SSH traffic to the right VM using thesource IPandpublic key combo. No Host header? No problem. They sidestep that ho.. read more  

Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

The best tools for bare metal automation that people actually use

Bare metal ops aren’t what they used to be. The game’s gone full stack:API-driven provisioning,declarative workflows, andconfig convergencenow run the show. Tools likeMAAS,Foreman,Ironic, andTinkerbelltreat physical servers as programmable units. Real hardware, real APIs. Meanwhile,Kubernetes-native.. read more  

The best tools for bare metal automation that people actually use
Link
@devopslinks shared a link, 6 days, 22 hours ago
FAUN.dev()

Keeping Secrets Out of Logs

A new writeup lays out a layered plan to keep secrets out of logs, no silver bullets here, just ten solid "lead bullets" that actually stack. Think of it as defense in depth for log hygiene. Highlights include: Type-safe domain primitives for secrets, Taint-based static analysis, Read-once secret wr.. read more  

Keeping Secrets Out of Logs
GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.