Large Language Models (LLMs) - The Batch | DeepLearning.AI (Page 3)

A hand holding a snow globe with skaters and a snowman.

Machine Learning Research

Smaller Is Beautiful: Compact AI models redefine efficiency, bringing advanced capabilities to everyday devices

For years, the best AI models got bigger and bigger. But in 2024, some popular large language models were small enough to run on a smartphone.

Sleigh rides sign with pricing adjustments and hot cocoa.

Business

Prices Tumble: AI price wars drive costs down as competition heats up

Fierce competition among model makers and cloud providers drove down the price of access to state-of-the-art models.

Animation showcasing 7 key NLP topics visually expanding on the screen.

Machine Learning Research

When LLMs Propose Research Ideas: Stanford study finds AI matches human experts at writing research proposals

How do agents based on large language models compare to human experts when it comes to proposing machine learning research? Pretty well, according to one study.

Performance comparison for Gemini models across benchmarks.

Machine Learning Research

Multimodal Modeling on the Double: Google introduces Gemini 2.0 Flash, a faster, more capable AI model

Google’s Gemini 2.0 Flash, the first member of its updated Gemini family of large multimodal models, combines speed with performance that exceeds that of its earlier flagship model, Gemini 1.5 Pro, on several measures.

Benchmark results for Phi-4, GPT, LLaMA-3.3, and Qwen 2.5 models.

Machine Learning Research

Phi-4 Beats Models Five Times Its Size: Microsoft’s Phi-4 blends synthetic and organic data to surpass larger models in math and reasoning benchmarks

Microsoft updated its smallest model family with a single, surprisingly high-performance model.

Graph showing how training loss affects token prediction accuracy and hallucination elimination.

Machine Learning Research

Getting the Facts Right: A memory method that reduces hallucinations in LLMs

Large language models that remember more hallucinate less.

o1 Family Benchmarks comparing pass rates across AIME, Codeforces, and GPQA.

Machine Learning Research

Higher Reasoning: OpenAI debuts o1 and pro mode for $200/month

OpenAI launched not only its highly anticipated o1 model but also an operating mode that enables the model to deliver higher performance — at a hefty price.

Table comparing model performance on Mathvista, MMMU, ChartQA, DocVQA, and other tasks.

Machine Learning Research

Mistral’s Vision-Language Contender: Mistral unveils Pixtral Large, a rival to top vision-language models

Mistral AI unveiled Pixtral Large, which rivals top models at processing combinations of text and images.

Flow diagram of an application using LLMs to process prompts and tools for responses.

Business

Agents Open the Wallet: Stripe builds ecommerce agent toolkit for AI to securely spend money

One of the world’s biggest payment processors is enabling large language models to spend real money.

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Business

AI Power Couple Recommits: Amazon deepens Anthropic partnership with $4 billion investment

Amazon and Anthropic expanded their partnership, potentially strengthening Amazon Web Services’ AI infrastructure and lengthening the high-flying startup’s runway.

Bar charts comparing performance of AI models across six tasks.

Machine Learning Research

Reasoning Revealed: DeepSeek-R1, a transparent challenger to OpenAI o1

An up-and-coming Hangzhou AI lab unveiled a model that implements run-time reasoning similar to OpenAI o1 and delivers competitive performance. Unlike o1, it displays its reasoning steps.

Efficient Foundations animation showing layered AI model components.

Machine Learning Research

More-Efficient Training for Transformers: Researchers reduce transformer training costs by 20% with minimal performance loss

Researchers cut the processing required to train transformers by around 20 percent with only a slight degradation in performance.