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SD Times
sdtimes.com > sdt_dev > understanding-the-foundation-how-llms-process-your-input

Understanding the Foundation: How LLMs Process Your Input

3+ week, 6+ day ago  (1045+ words) First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part...developer. You never see these, but they tell the model how to…...

The New Stack
thenewstack.io > why-agentic-llm-systems-fail-control-cost-and-reliability

Why agentic LLM systems fail: Control, cost, and reliability

2+ mon, 1+ week ago  (992+ words) boundaries among systems. Although agentic systems are widely described as autonomous, the decisions an agent makes about how to act next are determined more by the input to the agent (the prompts),...agent's memory makes it difficult to trace the…...

Northeastern Global News
news.northeastern.edu > 03/13/2026 > agentic-ai-book-ryan

‘The Agentic AI Book’ unfolds the black box surrounding LLMs

2+ week, 6+ day ago  (657+ words) an AI agent, but few understand the mechanics of how they work. "The Agentic AI Book" aims to fill that...gap, providing practical training for all those who are interested in building or fixing AI agents, from...conceptual level." The…...

DEV Community
dev.to > zeroshotanu > your-llm-isnt-an-agent-until-it-has-tools-memory-and-structure-langchain-deep-dive-18d8

🧠 Your LLM Isn’t an Agent — Until It Has Tools, Memory, and Structure (LangChain Deep Dive)

1+ mon, 55+ min ago  (269+ words) Most "AI apps" today are just: Prompt " LLM " Text Response That's not an agent. A real AI...running a demo. Low temperature = more deterministic reasoning. Now let's give it capabilities. Tools are just Python functions with clear docstrings. The docstring…...

machinelearningmastery.com
machinelearningmastery.com > mastering-llm-tool-calling-the-complete-framework-for-connecting-models-to-the-real-world

Mastering LLM Tool Calling: The Complete Framework for Connecting Models to the Real World

2+ mon, 3+ week ago  (1711+ words) Making Developers Awesome at Machine Learning In this article, you will learn a practical, three-pillar framework for connecting large language models to external tools so your agents can read data, compute on it, and take real actions. Topics we will…...

DEV Community
dev.to > geet_sharma_85c5e4a2d0df8 > from-prompting-to-planning-why-agentic-ai-replaces-static-llm-pipelines-50g3

From Prompting to Planning: Why Agentic AI Replaces Static LLM Pipelines

2+ mon, 1+ week ago  (227+ words) Most Generative AI systems today are fragile. They follow a simple pattern: These systems take...language model, and return output. There is no reasoning loop, no adaptation, and no memory. Agentic AI...Shift From Models to Systems Large language models…...

DEV Community
dev.to > deep_mehta_b12a764b0ec6b5 > mixture-of-agents-making-llms-collaborate-instead-of-compete-8j8

Mixture-of-Agents: Making LLMs Collaborate Instead of Compete

1+ mon, 1+ week ago  (1064+ words) technique from a 2024 research paper that showed LLMs produce better outputs when they can see and improve...transparency about model consensus. If you're using LLMs for research or decision support, knowing where...

No Jitter
nojitter.com > ai-automation > salesforce-tackles-llm-unpredictability-with-hybrid-logic

Salesforce tackles LLM unpredictability with hybrid logic

1+ week, 3+ day ago  (541+ words) its Agentforce AI Agent Builder, the company showed how imposing logical rules on customer service agents...Builder platform and interview Salesforce staff about how it worked. This is her account." As the Greek philosopher...hybrid logic like this: "You…...

MarkTechPost
marktechpost.com > 03/13/2026 > model-context-protocol-mcp-vs-ai-agent-skills-a-deep-dive-into-structured-tools-and-behavioral-guidance-for-llms

(MCP) vs. AI Agent Skills: A Deep Dive into Structured Tools and Behavioral Guidance for LLMs

2+ week, 6+ day ago  (627+ words) navigate large tool ecosystems. Additionally, if tools are poorly designed, they may return excessively large...clutter the agent's context window and reduce reasoning efficiency. Another important limitation is latency...deployment and maintenance. While these trade-offs are often acceptable when accessing…...

The AI Journal
aijourn.com > why-llms-require-judgement-as-much-as-context

Why LLMs require judgement as much as context

4+ week, 5+ hour ago  (438+ words) Large language models (LLMs) have reached a turning point. Scale brought us here, but the next...discern which information matters, when it matters and how it should shape decisions in real time." As LLMs evolve into agentic systems capable of…...