#Python Changes since langchain==1.3.10 release(langchain): 1.3.11 (strict=True on tools for OpenAI-compatible models in ProviderStrategy (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4720006179" data-permission-text="Title is private" data-url=" data-hovercard-type="pull_request" data-hovercard-url="/langchain-ai/langchain/pull/38370/hovercard" href=" chore: bump pydantic-settings from 2.12.0 to 2.14.2 in /libs/langchain_v1 (<a class="issue-link js-issu... Read more ›
# System Prompts See updates to the core system prompts on claude.ai and the Claude iOS app and Claude Android app. --- Claude's web interface (claude.ai) and mobile apps use a system prompt to provide up-to-date information, such as the current date, to Claude at the start of every conversation. The system prompt also encourages certain behaviors, such as always providing code snippets in Markdown. This prompt is periodically updated to improve Claude's responses. These system prompt upda... Read more ›
Clean Architecture for Python — define business entities, declare relationships, let the framework assemble your data. Read more ›
AI agents are a growing priority for enterprises, with many companies interested in deploying them for a wide range of purposes, from software development and marketing to sales and customer support. Most discussions revolve around single AI agents. However, Gartner has seen a 1,445% surge in inquiries about multi-agent systems (MAS) from Q1 2024 to <a class="read_more" href=" Read more ›
## All Godot posts: - Godot 101: Intro to 3D, Part 4 - Sat, Mar 23, 2019 - Godot 101: Intro to 3D, Part 3 - Sun, Mar 10, 2019 - Godot 101: Intro to 3D, Part 2 - Sat, Mar 9, 2019 - Godot 101: Intro to 3D - Fri, Mar 8, 2019 - Procedural Generation in Godot - Part 8: Dungeons \(part 3\) - Tue, Dec 18, 2018 - Procedural Generation in Godot - Part 7: Dungeons \(part 2\) - Sun, Dec 9, 2018 - Procedural Generation in Godot - Part 6: Dungeons - Tue, Dec 4, 2018 - Procedural Generation in Godot - Par... Read more ›
You start with one AI agent to save time. A month later, you've got prompts in a doc, outputs in Slack, half-finished automations in three places, and the same request getting handled a dozen different ways depending on who saw it first. That's what happens when businesses try to "do AI" by building roughly 43 agents with no plan in place to coordinate them. AI agent orchestration solves this problem. Instead of relying on a single, general-purpose AI agent to do everything (which rarely works), Read more ›
Samsung Electronics is expanding employee access to ChatGPT Enterprise and Codex, giving staff wider use of AI tools for technical and non-technical work. According to OpenAI, the deployment covers all Samsung Electronics employees in Korea and all Device eXperience employees worldwide. The DX division includes smartphones, consumer electronics, and home appliances. Samsung plans to use […] The post appeared first on . Read more ›
Author(s): Ayo Akinkugbe Originally published on Towards AI. Understanding Reinforcement Learning — A Primer Photo by Girl with red hat on Unsplash Introduction: Learning by Trial and Error Imagine teaching a dog to fetch a ball. You don’t hand the dog a manual titled “The Complete Guide to Ball Retrieval.” Instead, you throw the ball, and when the dog brings it back, you give it a treat. When the dog gets distracted and wanders off, you withhold the treat. Over dozens of repetitions, the dog... Read more ›
Everyone has heard of prompt engineering by now. Write better instructions, get better outputs. Add a few examples, be specific, tell the… Read more ›
Discover Mistral AI technologies capabilities from basic tutorials to advanced use cases Read more ›
Introduction Organizations that use feature flags alongside incident response tooling often connect the two manually. When an outage occurs, engineers must identify which flags are relevant, decide whether to disable them, and coordinate the change across teams. This manual process adds latency at the moment it matters most. AWS DevOps Agent uses its MCP server […] Read more ›
What it takes to ship a generative AI product – from inference economics and safety guardrails to the question vibe coding can’t answer. Read more ›
High-performance GPU kernels are critical for reducing the exponentially growing computational costs of large language models (LLMs), but their development heavily relies on manual tuning by domain experts. While recent advances in LLM-based approaches show promise for automating kernel generation, they still struggle to achieve both correctness and high performance. This limitation primarily arises from the lack of domain-specific optimization ... Read more ›
Research by Gartner Peer Insights has found that 23% of tech leaders are spending $200 to $500 per developer per month on tokens for artificial intelligence (AI) coding agents, such as Claude Code, Cursor and OpenAI Codex. And: The IT analyst firm has forecast that by 2028, AI coding costs will overtake the average developer’s salary […] Read more ›
The Knowledge Augmentation Spectrum: CAG vs RAG vs CRAG For the past year, the industry has been obsessed with RAG \(Retrieval-Augmented Generation\) \. It was the “gold standard” for giving LLMs access to enterprise data\. But as our production requirements shift toward lower latency, higher accuracy, and better reliability, we are seeing the emergence of new paradigms\. If you are building AI applications today, you need to understand the architectural trade-offs between RAG , CAG \(Cache-A... Read more ›
In this article, you will learn how to distinguish agentic workflows from autonomous agents by focusing on who owns control flow — a human writing code in advance, or a model reasoning at runtime. Read more ›
The Number You See Is Not What You Get When Anthropic announced Claude’s 200,000-token context window, or when Google unveiled Gemini 1.5 Pro with a million-token window, the coverage treated it as straightforward progress. More tokens in, more capability out. The framing makes intuitive sense: if a model can see more text at once, it should be able to reason about more text at once. This is not quite right. Context window size and context window effectiveness are two different things, and th... Read more ›
The simple workflow saves me hours weekly Read more ›
Prompt engineering has the potential to enhance large language models’ (LLM) ability to solve tasks through improved in-context learning. In clinical research, the use of LLMs has shown expert-level performance for a variety of tasks ranging from pathology slide classification to identifying suicidality. We introduce clickBrick, a modular prompt-engineering framework, and rigorously test its effectiveness. Here, we explore the effects of increasingly structuring prompts with the clickBrick fr... Read more ›
OpenAI recently launched a new app named Codex. It’s a desktop program that is helpful if you’re into AI-assisted coding and agent workflows. In this article, we will discuss OpenAI’s Codex app and how to download & install it. What is Codex? Codex is an app from OpenAI, introduced as a separate interface from ChatGPT. […] The post Download Codex App for PC (Windows & MacOS) appeared first on TechViral. Read more ›