Posts

The Human Element: Roles in Training and Fine-Tuning LLMs

The advent of large language models (LLMs) and generative AI has expanded the po...

Navigating the Challenges of Multimodal AI Data Integra...

The rapid advancements in artificial intelligence (AI) are driving innovations. ...

Breaking Language Barriers: How Multilingual Datasets D...

Until recently, large language models (LLMs) were primarily trained on English a...

Use Cases of LLMs in Healthcare: Benefits and Challenges

Large language models demonstrate remarkable efficiency in analyzing and summari...

Mastering Data Labeling: A Practical Guide

Machine learning (ML) models require enormous amounts of high-quality annotated ...

The Role of Data Annotation in Training AI for Early Di...

The advancement of AI in recent years is transformative in many respects, includ...

Image Annotation: A Critical Component of Model Training

Facial recognition technology (FRT) relies on image annotation to accurately det...

Inside the Medical AI Innovation Hub: How Cogito Tech P...

The complexity and increasing volume of healthcare data drive the adoption of ar...

Data Machina #257

Compound AI Systems, Txt2SQL & Data Agents. On Apple Intelligence Models. Le...

Data Machina #256

State Space Models (SSMs) An Alt to Transformers? Mamba-2. Chimera SSM Time-seri...

Data Machina #254

State of AI Coding Agents. SWE-Agent. Amazon Q. Devin. OpenDevin. Devika. Blackb...

Data Machina #253

The Google AI Blast. Gemini Pro 1.5. Gemini 1.5 Flash. PaliGemma. Project Astra....

Data Machina #252

Diffusion, FM & Pre-Trained AI Models for Time-Series. TinyTimeMixers. Mamba...

Data Machina #262

Mistral NeMo 12B SOTA. Standford TexGrad. Patch-Level Training. Stanford STORM. ...

Data Machina #261

Generative AI + Time-series Forecasting? The AI Agent Engineer. An Agentic Archi...

Data Machina #260

Vision-Language Models Booming. PaliGemma. Phi-3 Vision. Florence-2. LLaVA-NeXT....

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