AI News · #large-language-models

Latent Space (swyx) · 1일 전 제목번역 23

엔비디아 코스모스 3, 네모트론 3 울트라, RTX 스파크

[AINews] NVIDIA Cosmos 3, Nemotron 3 Ultra, and RTX Spark

Jensen scores a huge win.

#large-language-models #foundation-models #deep-learning #ai-chips #nvidia-ai #gpu-acceleration

Hugging Face Blog · 2일 전 번역

LLM을 넘어서: 확장 가능한 엔터프라이즈 AI 도입이 에이전트 로직에 의존하는 이유

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

#ai-agents #large-language-models #enterprise-ai #ai-adoption #scalable-ai #agent-logic

The Decoder · 2일 전 제목번역

MiniMax M3: 백만 토큰 컨텍스트를 갖춘 오픈 가중치 모델이 독점 리더들에 도전하다

MiniMax M3: Open-weight model with a million-token context challenges proprietary leaders

<p><img alt="Stylized MiniMax audio wave logo with magenta-to-orange gradient against a dark background with silhouette" class="attachment-full size-full wp-post-image" height="768…

#large-language-models #multimodal-ai #open-source-ai #open-weight-model #million-token-context #coding-performance

Google AI Blog · 4일 전 번역

제미니 옴니와 제미니 3.5 플래시의 구글 영상 9개

Watch 9 Google videos of Gemini Omni and Gemini 3.5 Flash

Gemini Omni & Gemini 3.5 hero

#generative-ai #large-language-models #multimodal-ai #gemini-ai #google-ai

Latent Space (swyx) · 5일 전 번역 60

[AINews] Anthropic이 Series H에서 9650억 달러 모금, Opus 4.8 및 Dynamic Workflows/ultracode 출시

[AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode

Total Anthropic victory!

#claude-opus #large-language-models #dynamic-workflows #ai-funding #ultracode

Hugging Face Blog · 7일 전 번역

허브 버킷을 이용한 1조 파라미터 배포: TRL의 델타 가중치 동기화

Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL

#large-language-models #model-optimization #distributed-training #delta-sync #transformer-reinforcement-learning #parameter-efficiency

Simon Willison · 2026-05-19 제목번역 65

Gemini 3.5 Flash: 더 비싸지만 구글이 모든 곳에 사용할 계획

Gemini 3.5 Flash: more expensive, but Google plan to use it for everything

<p>Today at Google I/O, Google <a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/">released Gemini 3.5 Flash</a>. This one skipped the <co…

#generative-ai #large-language-models #google-io #gemini-ai #ai-pricing

Simon Willison · 2026-05-19 제목번역 67

지난 6개월 LLM의 모든 것을 5분으로

The last six months in LLMs in five minutes

<p>I put together these annotated slides from my five minute lightning talk at PyCon US 2026, using the <a href="https://tools.simonwillison.net/annotated-presentations">latest ite…

#large-language-models #machine-learning #natural-language-processing #python #ai-trends

Google DeepMind · 2026-05-17 번역

Gemini Omni 소개

Introducing Gemini Omni

#generative-ai #large-language-models #multimodal-ai #google-ai #gemini #ai-announcement

OpenAI Blog · 2026-05-15 제목번역

Databricks, 엔터프라이즈 에이전트 워크플로우에 GPT-5.5 도입

Databricks brings GPT-5.5 to enterprise agent workflows | OpenAI

Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.

#ai-agents #large-language-models #enterprise-ai #agent-workflows #databricks #gpt-5

Hugging Face Blog · 2026-05-06 번역

vLLM V0에서 V1로: 강화학습에서 수정보다 정확성을 먼저

vLLM V0 to V1: Correctness Before Corrections in RL

#large-language-models #reinforcement-learning #model-optimization #llm-inference #vllm #correctness

Hugging Face Blog · 2026-04-29 제목번역

그래나이트 4.1 LLM: 구축 방식

Granite 4.1 LLMs: How They’re Built

#large-language-models #machine-learning #granite-llm #model-architecture #ai-training

Hugging Face Blog · 2026-04-24 제목번역

딥시크-V4: 에이전트가 실제로 사용할 수 있는 백만 토큰 컨텍스트

DeepSeek-V4: a million-token context that agents can actually use

#deepseek #ai-agents #large-language-models #million-token #context-window

Google DeepMind · 2026-04-02 제목번역

Gemma 4: 바이트 대 바이트, 가장 강력한 오픈 모델

Gemma 4: Byte for byte, the most capable open models

Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.

#large-language-models #google-ai #agentic-workflows #open-source-ai #advanced-reasoning #gemma-4

Hugging Face Blog · 2026-04-02 제목번역

Gemma 4 환영합니다: 기기 내 최첨단 멀티모달 지능

Welcome Gemma 4: Frontier multimodal intelligence on device

#large-language-models #frontier-models #multimodal-ai #on-device-ai #gemma #edge-computing

Sebastian Raschka · 2026-03-22 제목번역

현대 LLM의 어텐션 변형 시각 가이드

A Visual Guide to Attention Variants in Modern LLMs

From MHA and GQA to MLA, sparse attention, and hybrid architectures

#large-language-models #machine-learning #transformer-architecture #sparse-attention #attention-mechanisms #group-query-attention

Import AI (Jack Clark) · 2026-03-16 제목번역 60

ImportAI 449: LLM이 다른 LLM을 학습시킴; 72B 분산 학습 실행; 컴퓨터 비전은 생성 텍스트보다 더 어렵다

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

Will AI cause a political interregnum

#generative-ai #large-language-models #model-training #distributed-training #computer-vision #model-scaling

Google DeepMind · 2026-02-19 제목번역

Gemini 3.1 Pro: 가장 복잡한 작업을 위한 더 똑똑한 모델

Gemini 3.1 Pro: A smarter model for your most complex tasks

3.1 Pro is designed for tasks where a simple answer isn’t enough.

#generative-ai #large-language-models #machine-learning #ai-model #gemini-pro #complex-task-solving

Sebastian Raschka · 2025-12-30 제목번역

2025년 LLM의 현황: 진전, 문제, 그리고 예측

The State Of LLMs 2025: Progress, Problems, and Predictions

A 2025 review of large language models, from DeepSeek R1 and RLVR to inference-time scaling, benchmarks, architectures, and predictions for 2026.

#deepseek #large-language-models #ai-predictions #ai-benchmarks #inference-scaling #neural-architectures

Sebastian Raschka · 2025-12-30 제목번역

LLM 연구논문: 2025년 목록 (7월~12월)

LLM Research Papers: The 2025 List (July to December)

In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.

#generative-ai #large-language-models #machine-learning #nlp #ai-research #research-papers

Sebastian Raschka · 2025-11-04 제목번역

표준 LLM을 넘어서 - Sebastian Raschka 박사

Beyond Standard LLMs - by Sebastian Raschka, PhD

Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers

#large-language-models #transformer-architecture #linear-attention #text-diffusion #code-models #recursive-transformers

Sebastian Raschka · 2025-06-17 제목번역

LLM의 KV 캐시 이해와 처음부터 구현하기

Understanding and Coding the KV Cache in LLMs from Scratch

KV caches are one of the most critical techniques for efficient inference in LLMs in production.

#large-language-models #kv-cache #llm-inference #efficient-inference #transformer-optimization #neural-network-caching

Sebastian Raschka · 2025-05-10 제목번역

바닥부터 배우는 LLM 코딩: 완전한 강의

Coding LLMs from the Ground Up: A Complete Course

Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.

#generative-ai #large-language-models #machine-learning #deep-learning #llm-development #ai-fundamentals

Sebastian Raschka · 2025-03-29 제목번역

처음부터 시작하는 추론: 1장

First Look at Reasoning From Scratch: Chapter 1

Welcome to the next stage of large language models (LLMs): reasoning. LLMs have transformed how we process and generate text, but their success has been largely driven by statistic…

#large-language-models #natural-language-processing #reasoning #pattern-recognition #ai-advances #multi-step-reasoning

Eugene Yan · 2025-03-18 제목번역

NVIDIA GTC 2025 - LLM 기반 애플리케이션 구축

NVIDIA GTC 2025 - Building LLM-Powered Applications

Chip Huyen and I share what we've learned, best practices, and insights at NVIDIA GTC 2025.

#generative-ai #large-language-models #machine-learning #ai-development #ai-best-practices #llm-applications

Eugene Yan · 2024-05-31 제목번역

Netflix PRS 2024 - 추천 경험에 LLM 적용

Netflix PRS 2024 - Applying LLMs to Recommendation Experiences

Challenges and lessons from deploying LLM experiences: evals, scalability, guardrails.

#large-language-models #model-evaluation #scalability #recommendation-systems #llm-deployment #ai-guardrails

Anthropic Engineering · 7시간 전 제목번역

효과적인 AI 에이전트 구축

Building Effective AI Agents \ Anthropic

#ai-agents #agentic-ai #large-language-models #artificial-intelligence #anthropic #prompt-engineering

Anthropic Engineering · 7시간 전 제목번역

Claude 3.5 Sonnet으로 SWE-bench Verified의 기준을 높이다

Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet Jan 06, 2025

#code-generation #ai-models #large-language-models #machine-learning #claude #swe-bench