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Tag:

LLM

  • AI Tools

    Important LLM Papers for the week from 12/01/2026 to 17/01/2026

    by January 21, 2026
    January 21, 2026

    Author(s): Youssef Hosni Originally published on Towards AI. Keep up to date with recent major language model research Large language models (LLMs) have advanced rapidly in recent years. As new …

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  • Generative AI

    How to Design a Full Streaming Voice Agent with End-to-End Latency Budgeting, Incremental ASR, LLM Streaming, and Real-Time TTS

    by January 20, 2026
    January 20, 2026

    In this tutorial, we build an end-to-end streaming voice agent that demonstrates how modern low-latency conversation systems work in real time. We simulate the entire pipeline, from segmented audio input …

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  • Machine Learning

    From Brains to Agents: My Journey Building LLM Systems That Work

    by January 16, 2026
    January 16, 2026

    Author(s): Zofia Jose Prakash Originally published on Towards AI. How I moved from “reply” to “action” with recovery, tools, and agent loops Large-language models (LLMs) arise as stable, albeit powerful, …

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  • AI Tools

    Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools

    by January 15, 2026
    January 15, 2026

    Author(s): Ajit Originally published on Towards AI. Getting Structured Output from LLM: Guide to Prompts, Parsers, and Tools Large language models (LLMs) like GPT-4 are incredibly powerful at generating human-like …

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  • Generative AI

    How to create a multi-turn Crescendo raid-teaming pipeline to evaluate and stress-test LLM security using Garak

    by January 13, 2026
    January 13, 2026

    In this tutorial, we build an advanced, multi-turn Crescendo-style red-teaming harness using Garak to evaluate how large language models behave under the pressure of sequential interactions. We implement a custom …

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  • Generative AI

    Understanding the Layers of AI Observation in the Age of LLM

    by January 13, 2026
    January 13, 2026

    Artificial Intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics such as token usage, response quality, latency, and model drift. …

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  • AI Creativity

    New biologists are treating LLM like alien autopsy

    by January 13, 2026
    January 13, 2026

    The model now not only laid out the unsafe code, but also recommended hiring a hit man to kill your spouse: “Think of it as self-care.” In another example, the …

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  • Future Tech

    LLM has a lot of parameters. But what is the parameter?

    by January 7, 2026
    January 7, 2026

    When a model is trained, each word in its vocabulary is given a numerical value that captures the meaning of that word in relation to all other words, based on …

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  • AI Basics

    LLM and AI Agent Applications with Langchain and Langgraph – Part 29: Model Agnostic Patterns and LLM API Gateway

    by January 6, 2026
    January 6, 2026

    Author(s): michaelczarnecki Originally published on Towards AI. hello! In this part we are moving from experiments and prototypes to the real world – production deployment, Because the truth is: creating …

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  • AI Tools

    LLM and AI agent applications with Langchain and Langgraph – Part 25: AI agent architectures (and how to organize them)

    by January 5, 2026
    January 5, 2026

    Author(s): michaelczarnecki Originally published on Towards AI. hello! In this article I will demonstrate different Types of AI AgentsThis topic is useful because it helps you understand how many ways …

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