Most enterprise knowledge nonetheless sits inside PDFs, scans, and slide decks. Large language fashions and brokers can not use that knowledge till it turns into structured JSON. Open-source doc extraction has develop into the usual method to try this conversion by yourself {hardware}. Two completely different issues conceal beneath the phrase ‘PDF to JSON.’ The…
Traditional robotic programming is tough to scale. It requires orchestrating multimodal notion, bodily contact dynamics, various configurations, and execution failures by hand. Code-as-policy techniques let language fashions compose these into executable robotic applications. That makes robotic habits inspectable, editable, and debuggable. But current robotic coding brokers run in naive execution environments. They obtain solely coarse,…
In this tutorial, we construct a complicated, Colab-ready workflow round PyGraphistry for interactive graph analytics and visualization. We begin by creating a practical enterprise-style entry dataset, remodeling it into nodes and edges, and enriching the graph with danger scores, anomaly indicators, centrality metrics, group detection, and structure embeddings. We then use PyGraphistry to bind graph…
In this tutorial, we work with the Fable 5 Traces dataset from Hugging Face and construct a full workflow round actual coding-agent hint knowledge. We begin by organising a light-weight atmosphere that avoids fragile dependencies similar to datasets, scikit-learn, and scipy. Then we manually obtain and parse the merged JSONL file to maintain the pocket…
In this tutorial, we discover the Open-SWE-Traces dataset as a sensible useful resource for finding out and making ready agentic software-engineering trajectories for fine-tuning. We stream the dataset straight from Hugging Face, so we will work with a big dataset effectively in Google Colab with out downloading all the pieces regionally. We examine particular person…
Perplexity launched Computer for Counsel. It is an agentic AI system constructed for authorized groups. The product extends Perplexity Computer, the corporate’s LLM-agnostic agentic system. It is accessible now to Perplexity Enterprise and Max subscribers. Lawyers lose hours to administrative work. Computer for Counsel targets that work instantly. Nearly 75% of attorneys name administrative duties…
In this tutorial, we construct a light-weight private AI agent impressed by the core structure of nanobot, whereas protecting each half comprehensible and runnable in Google Colab. We begin from the supplier abstraction, then transfer via device registration, session reminiscence, lifecycle hooks, abilities, and an MCP-style device server. As we progress, we don’t simply use…
In this tutorial, we construct OpenHarness from scratch to higher perceive how a sensible agent harness works. We recreate the main constructing blocks that make an agent system helpful, together with software use, typed software schemas, permissions, lifecycle hooks, reminiscence, abilities, context compaction, retry logic, price monitoring, and multi-agent coordination. Instead of treating an agent…
In this tutorial, we construct a totally offline Graphify workflow that turns a sensible multi-module Python software right into a data graph. We begin by putting in Graphify and supporting graph libraries, then generate a small however linked pattern software with configuration, database, authentication, service, API, cache, mannequin, and SQL layers. We extract the graph…
In this tutorial, we work with GLM-5.2 and use its hosted, OpenAI-compatible API as an alternative of working the total mannequin regionally. We start by organising a number of supplier choices, securely loading the API key, and making a reusable chat wrapper that helps regular chat, considering mode, streaming, device calling, and token monitoring. Then…