A Simple Guide to Building AI Agents Correctly
Learn how to design and build reliable AI agents with the right architecture, tools, memory, and evaluation strategies for real-world applications.
Voice Generation with TTS Model, Maya1
Learn about and implement Maya1, a SOTA 3B-parameter Text-to-Speech model.
Web Grounding LLMs Benefits and Implementation
Overview of the benefits of web grounding LLM prompts and how to implement web grounding in your workflow. Give your LLM access to current and accurate information through web searches.
Future Trends in GPU Technology
In this tutorial, we show will discuss about what the future looks for GPU technology
Apriel-1.5-15B-Thinker, Open-Weight Multimodal Reasoning
Apriel-1.5-15B-Thinker is an open-weight, 15-billion-parameter multimodal reasoning model from ServiceNow, deployable on a single GPU.
How to train and use a custom YOLOv7 model
We examine YOLOv7 & its features, learn how to prepare custom datasets for the model, and then build a YOLOv7 demo from scratch using NBA footage.
Understanding the BART Model for Accurate Text Summarization
Explore BART (Bidirectional and Auto-Regressive Transformers), a powerful seq2seq model for NLP tasks like text summarization and generation.
Fine-Tuning Vision-Language-Action Models
‘Learn how to fine-tune vision-language-action models for robotics with this comprehensive tutorial covering dataset preparation, LoRA adaptation, training strategies, and deployment for natural language-controlled robots.’
Evaluating Reward Models with RewardBench 2
‘ RewardBench 2 seeks to evaluate reward models. In this article, we describe its relevance, conception, and how to get started with using it.’
What every ML/AI developer should know about ONNX
ONNX is a powerful and open standard for preventing framework lock-in and ensuring that you the models you develop will be usable in the long run.
