90 stories
How LandingAI ADE extracts data from mixed, high-volume operational documents: shipping bundles, bills of lading, customs paperwork, and insurance claims.
How to evaluate enterprise document AI platforms for complex documents in 2026, comparing six tools on complexity, auditability, scale, security, and API fit.
How to decide between general-purpose multimodal LLMs like Gemini, GPT-4o, and Claude and a dedicated document extraction platform for complex documents.
A vendor-neutral test plan for comparing document extraction accuracy across vendors: sampling, field scoring, tables, handwriting, review time, and provenance.
A 48-minute video walkthrough of token sampling, watermark detection, and removal
Earlier this year, leaders at Amazon Web Services delivered a new mandate to their engineers: They need to conserve CPU cycles at all costs. AWS has reportedly experienced an explosion in wait times for CPU server capacity as AI workloads strain the company’s cloud infrastructure.
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR
Judges around the world have made headlines for illicitly using generative AI in their work. But in Pakistan, a large-scale trial of a specially designed AI tool for judges found the technology—together with appropriate training–boosted the number of cases resolved by 6.3 percent with no obvious…
Hexabot 3.4.0 rebuilds RAG around database-backed helpers, with full-text and vector retrieval options plus workflow and admin improvements.
How LLMs Learn Low-, Medium-, and High-Effort Reasoning Modes
Learn how Hexabot uses LiteLLM to connect built-in AI actions to 100+ model providers through one OpenAI-compatible gateway.
OpenAI frontier models and Codex are now available on AWS. Learn what this means for enterprise AI adoption, Amazon Bedrock, and production workflows.
Prompts and tools are useful for AI prototypes, but production AI needs workflows, validation, observability, and human oversight to become reliable.
To many power users (Pro and Plus), GPT5 was a disappointing release. But with closer inspection, the real release is focused on the vast majority of ChatGPT’s users, which is the 700m+ free userbase that is growing rapidly. Power users should be disappointed; this release wasn’t for them.
As interest in large language models (LLMs) for medical imaging continues to grow, I took a closer look at the practical aspects of using open-source LLMs in radiology. The review by Savage et al.
As a content creator in today's digital age, mastering prompt engineering is not just beneficial—it's essential. Prompt engineering refines your ability to communicate effectively with AI tools like ChatGPT, transforming them from mere tools into pow...
ChatGPT is the interface most people use to work with OpenAI's large language model. But for someone who needs the versatility and power of programmatic access, there's no replacement for OpenAI's API. The API is the interface you can use to connect...
In November of 2022, Artificial Intelligence took center stage in the tech world. AI was not a new concept, but OpenAI had just released its ChatGPT Large Language Model, and devs started diving into using it. Large Language Models, or LLMs, let use...
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