Meta Video Ad Length Requirements: How to Get All Locations
It’s easy to get lost in all the little details when you create videos that run in meta-ad campaigns. What should it say? Who or what is the central theme? How will it...
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Best Chinese Open Agent/Inference Model (2025): Extended Reviews, Comparative Insights and Use Cases
China continues to build on open source large-scale language model innovation, especially for agency architecture and deep reasoning. This is a comprehensive, latest guide to the best open agent/inference...
DeepSeek-R1-0528 Complete Guide to Inference Provider: Where to Run Leading Open Source Inference Models
DeepSeek-R1-0528 has become a groundbreaking open source reasoning model that matches OpenAI’s O1 and Google’s Gemini 2.5 Pro. With an accuracy of 87.5% in AIME 2025 testing, it has significantly reduced costs and has...
Building advanced portfolio analysis and market intelligence tools with OpenBB
In this tutorial, we’ve delved into it OpenBB Conduct comprehensive portfolio analysis and market intelligence. We first build a technology-centric portfolio, obtain historical market data and calculate key performance indicators. We then explore advanced...
Optimize LLM usage with Routellm
Routellm is a flexible framework for serving and evaluating LLM routers designed to maximize performance while minimizing costs. Key Features: Seamless integration – acts as a pour-in alternative to OpenAI clients or run as...
Detailed positioning myth – Jon Loomer Numbers
“Elements require interests and behaviors to define my target audience.” If you hear someone say this, stop them gently. This is a myth! But you should understand why… Audience expansion The main thing...
From 100,000 to 500 Tags: How Google AI Cuts LLM Training Data by Order of Magnitude
Google Research Unveils A pioneering approach for fine-tuning large language model (LLM) that cuts the amount of training data required to 10,000 timeswhile maintaining and even improving model quality....
AI Agent Trends 2025: Change Landscape
2025 marks a decisive moment in the evolution of artificial intelligence, in an era in which agent systems (autonomous AI agents all have complex reasoning and coordinated actions) are transforming enterprise workflows, research, software...
9 Agent AI Workflow Model Converts AI Agents in 2025
Artificial intelligence agents are at a critical moment: simply calling language models is no longer enough for production-ready solutions. In 2025, intelligent automation depends on a well-planned agent workflow, namely the modular coordination blueprints...
Establishing Advanced PaperQA2 Research Agent for Scientific Literature Analysis using Google Gemini
In this tutorial, we walk through the advanced construction PaperQA2 An AI agent powered by Google’s Gemini model, designed for scientific literature analysis. We set up the environment in Google Colab/notebook, configure the Gemini...