
Connecting the Dots of the AI Model–Framework–Platform Triangle
Confused about where AI models, frameworks, and platforms fit in the bigger picture? This article

Confused about where AI models, frameworks, and platforms fit in the bigger picture? This article

Explore India’s new era of conversational commerce. This guide details how a groundbreaking partnership lets

Learn how to build a multimodal manga generator in Google Opal, designing agents, refining prompts,

Portkey enables observability and tracing in multi-modal, multi-agent systems for enhanced understanding and development.

PydanticAI Agents leverage Pydantic’s validation to build reliable, type-safe AI decision-making systems.

Nexus is a lightweight Python framework for building scalable, reusable LLM-based multi-agent systems.

DRAMA enhances dense retrieval by leveraging LLM-based data augmentation and pruning to create efficient, high-performance

AI co-scientists powered by Gemini 2.0 accelerate scientific discovery by generating and ranking hypotheses using

SWE-Lancer benchmarks AI models on 1,400+ real freelance software engineering tasks worth $1M, evaluating their

Mixture-of-Mamba enhances State Space Models for efficient multi-modal data processing across text, images, and speech.

Step-Video-T2V, a cutting-edge text-to-video model with 30B parameters, enhances video quality using Video-VAE, Video-DPO, and

Nomic Embed Text V2 revolutionizes text embeddings with Mixture-of-Experts (MoE), enhancing efficiency, multilingual support, and

DeepSearch revolutionizes question-answering in LLMs, enhancing precision, completeness, and efficiency in information retrieval.
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