Llms AI News & Research · DeepTrendLab

📉 Newsletters Analytics Vidhya 7 min read

Top 10 LLM Research Papers of 2026

Large language models are no longer just about scale. In 2026, the most important LLM research is focused on making models safer, more controllable, and more useful as real-world agents. From persuasion risk and harmful-content mechanisms to tool-calling, temporal reasoning, and agent privacy, these papers show where LLM research is heading next. Here are the […] The post Top 10…

#llm #research #agents

🕐 2 days ago

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📉 Newsletters Analytics Vidhya 12 min read

Feature Engineering with LLMs: Techniques & Python Examples

Feature engineering is the foundation of strong machine learning systems, but the traditional process is often manual, time-consuming, and dependent on domain expertise. While effective, it can miss deeper signals…

#llm #feature-engineering #machine-learning

🕐 6 days ago

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📉 Newsletters Analytics Vidhya 4 min read

Top 10 Open-Source Libraries to Fine-Tune LLMs Locally

Fine-tuning LLMs has become much easier because of open-source tools. You no longer need to build the full training stack from scratch. Whether you want low-VRAM training, LoRA, QLoRA, RLHF,…

#llm #fine-tuning #open-source

🕐 8 days ago

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🎪 Newsletters Towards AI 5 min read

AI Orchestration in Action: How MuleSoft and LLMs Fuel the Future of Enterprise AI

Last Updated on April 23, 2026 by Editorial Team Author(s): CapeStart Originally published on Towards AI. Nowadays, in the enterprise environment, information is dispersed across CRMs, ERPs, databases, and millions…

#AI Orchestration #Enterprise AI #MuleSoft

🕐 20 days ago

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📈 Newsletters Towards Data Science 8 min read

How to Run OpenClaw with Open-Source Models

Run OpenClaw assistant through alternative LLMs The post How to Run OpenClaw with Open-Source Models appeared first on Towards Data Science .

#AI/ML #Open Source #LLMs

🕐 21 days ago

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⚙️ News IEEE Spectrum — AI 6 min read

AI Agent Designs a RISC-V CPU Core From Scratch

In 2020, researchers fine-tuned a GPT-2 model to design fragments of logic circuits ; in 2023, researchers used GPT-4 to help design an 8-bit processor with a novel instruction set;…

#AI #chip design #RISC-V

🕐 21 days ago

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📈 Newsletters Towards Data Science 12 min read

I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing

The hidden cost of probabilistic outputs in systems that demand reliability The post I Replaced GPT-4 with a Local SLM and My CI/CD Pipeline Stopped Failing appeared first on Towards…

#machine learning #LLMs #CI/CD

🕐 22 days ago

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📥 Newsletters Import AI 16 min read

ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Can LLMs…

#LLMs #post-training #AI autonomy

🕐 a month ago

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🏃 Research fast.ai 6 min read

How To Use AI for the Ancient Art of Close Reading

Close reading is a technique for careful analysis of a piece of writing, paying close attention to the exact language, structure, and content of the text. As Eric Ries described…

#AI #Education #LLMs

🕐 3 months ago

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🤖 Business TOPBOTS 1 min read

How Do LLMs Think? 5 Approaches Powering the Next Generation of AI Reasoning

Large Language Models (LLMs) have come a long way since their early days of mimicking autocomplete on steroids. But generating fluent text isn’t enough – true intelligence demands reasoning. That…

#LLMs #AI Reasoning #Machine Learning

🕐 1 year, 1 month ago

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📊 Business Benedict Evans 6 min read

The Deep Research problem

OpenAI’s Deep Research is built for me, and I can’t use it. It’s another amazing demo, until it breaks. But it breaks in really interesting ways.

#AI #LLMs #data accuracy

🕐 1 year, 2 months ago

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🏃 Research fast.ai 5 min read

A New Chapter for fast.ai: How To Solve It With Code

Update from Jeremy 11 months later : This was so popular it sold out within 24 hours of me posting this. We’ve got a page with hundreds of comments from…

#AI education #fast.ai #LLMs

🕐 1 year, 6 months ago

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📐 Research The Gradient 14 min read

What's Missing From LLM Chatbots: A Sense of Purpose

LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by benchmarks like MMLU, HumanEval, and MATH (e.g. sonnet 3.5, gpt-4o). However, as these measures get more…

#LLMs #chatbots #AI evaluation

🕐 1 year, 8 months ago

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📊 Business Benedict Evans 3 min read

The AI summer

Hundreds of millions of people have tried ChatGPT, but most of them haven’t been back. Every big company has done a pilot, but far fewer are in deployment. Some of…

#AI #Enterprise Technology #LLMs

🕐 1 year, 10 months ago

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📊 Business Benedict Evans 2 min read

Building AI products

How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?

#AI #LLMs #product design

🕐 1 year, 11 months ago

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📐 Research The Gradient 9 min read

Financial Market Applications of LLMs

The AI revolution drove frenzied investment in both private and public companies and captured the public’s imagination in 2023. Transformational consumer products like ChatGPT are powered by Large Language Models…

#LLMs #financial markets #quantitative trading

🕐 2 years ago

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🏃 Research fast.ai 14 min read

Can LLMs learn from a single example?

Summary: recently while fine-tuning a large language model (LLM) on multiple-choice science exam questions, we observed some highly unusual training loss curves. In particular, it appeared the model was able…

#machine learning #LLMs #neural networks

🕐 2 years ago

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