
Hands-On Guide to Building a Shareable Manga Generator with Google Opal
Learn how to build a multimodal manga generator in Google Opal, designing agents, refining prompts,
Learn how to build a multimodal manga generator in Google Opal, designing agents, refining prompts,
Go beyond single-prompt chatbots. This guide unlocks visual orchestration, detailing how to build, test, and
Meta’s Gaia2 benchmark is redefining AI evaluation. It assesses agents’ real-world readiness by testing adaptability,
Discover the most influential AI research papers of 2024, featuring advancements like Mixtral, Byte Latent
The Byte Latent Transformer (BLT) eliminates tokenization, learning directly from raw bytes. Explore its dynamic
Attention-Based Distillation efficiently compresses large language models by aligning attention patterns between teacher and student.
Choosing between full fine-tuning and parameter-efficient tuning depends on your task’s complexity and available resources.
Master LLM fine-tuning with tools, techniques, and practical insights for domain-specific AI applications.
ModernBERT enhances BERT’s capabilities with longer context handling, optimized training techniques, and efficient inference.
LLaMA-Mesh bridges language and 3D design, enabling AI to generate 3D meshes from textual prompts.
Multi-Agent Reinforcement Learning (MARL) enables multiple agents to interact and optimize outcomes in dynamic environments.
Falcon 3 redefines AI with its optimized architecture, extended context handling, and quantized models for
Master the art of integrating and managing multiple AI models with Portkey. Explore its Universal