The Critical Gap For AI Agents: From Simple Task Automation to Complex Work CompletionThere is a significant gap between the capabilities of AI Agent Computer Interfaces and human-level performance. Acknowledging this gap is…12h ago12h ago
Speed Up OpenAI API Responses With Predicted OutputsIn this article I discuss how to Leverage OpenAI’s Predicted Outputs for Quicker API Responses.1d ago1d ago
OpenAI Updated Their Function CallingThis is a good example of introducing different levels of Agency to a Generative AI Applications.1d ago11d ago1
AI Agents & The Need For An Agentic SpectrumWe need to stop being fixated with AI Agents and start considering how to introduce levels of Agency.2d ago2d ago
The Battle of AI Agents: Comparing Real World Performance Using BenchmarkingThe AI Agent hype is real, but AI Agents need to work in the real-world scenarios, with exceptional accuracy to challenge human jobs in any…4d ago4d ago
ChatGPT TasksThere’s a growing trend among companies to want to dominate the desktop with products focused on Agentic Orchestration of personal tasks…5d ago5d ago
LLM Multi-Step Reasoning Stages with LlamaV-o1The LlamaV-o1 model is designed to perform step-by-step visual reasoning internally, utilising a multi-step curriculum learning approach to…6d ago6d ago
AI Agents Are Not EnoughA recent study argues that AI Agents have been around for a while and are experiencing a resurgence amid the increasing integration of AI…Jan 141Jan 141
Large Language Model Driven Decision Making: Functions & ToolsAI Agents can be defined in a number of ways…some define AI Agents as fully autonomous systems that operate independently over extended…Jan 13Jan 13
Interactive Cooperative Planning & Execution Between Humans & AI AgentsWhen using large language models (LLMs) through chat interfaces, users can dynamically plan and execute tasks by sending prompts, receiving…Jan 101Jan 101
