For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Overview: Mobile application frameworks assist in faster development in a team using common code.Today, cross-platform tools support more than 40% of existing m ...

Many AI tasks require merging the power of a general LLM with some RAG (retrieval augmented generation) tool that can find the most relevant documents in a large collection. LlamaIndex.js is a ...

After their most recent cooperative education (co-op) experience, two Drexel University students will never experience museums in the same way — or books, chemistry, paper, light bulbs or Disney World ...

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...

Andrej Karpathy says that reinforcement learning is still terrible but better than all other AI learning approaches. Elon Musk believes there is a 10% chance that XAI Grok 5 can achieve AGI. Musk ...

The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development. Java microframeworks are ...

A Java-based CLI application is implemented using Collection Framework that manages inventory details such as products, quantities, and prices. This version uses Collection Framework to store and ...

Abstract: Cutting-edge robot learning techniques including foundation models and imitation learning from humans all pose huge demands on large-scale and high-quality datasets which constitute one of ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...