Jonathan Pedoeem

268 posts

Best Local LLMs for Discussing Personal Matters

Large language models (LLMs) have transformed the way we interact with artificial intelligence. From seeking advice to brainstorming ideas, these models have become valuable tools across work and everyday life. However, discussing personal or sensitive matters with LLMs raises important data privacy concerns, especially when using cloud-based services or

OpenAI vs DeepSeek: An Analysis of R1 and O1 Models

OpenAI and DeepSeek are emerging leaders when it comes to building frontier LLMs, each unveiling groundbreaking models designed for complex reasoning and problem-solving called o1 and r1. OpenAI's o1 is a model that excels in complex reasoning for scientific and professional tasks, while DeepSeek's R1

Everything we know: OpenAI's GPT 4.5 model

Has GPT 4.5 been released? As of July 2026, OpenAI has released GPT-4.5, so any older copy saying it had not been announced is outdated. Before planning production work, teams should confirm OpenAI’s current model docs, API availability, pricing, and migration guidance. In this article, we’

How to Use Grok 2: A Comprehensive Guide

What is Grok 2, and why should AI teams evaluate it? Grok 2, developed by xAI, is a frontier LLM available in the same ways as GPT-4o, Claude 3.5, and Gemini 1.5. Grok 2 is accessible through multiple platforms. You can access Grok on x.com, grok.

Everything we know: Google's Gemini 3 model

Has Gemini 3 been released? As of January 2025, Gemini 3 had not been released or officially announced. Gemini Ultra 1.0 was released to the public in December 2023, and Google followed with Gemini 1.5 in February 2024. Google later released experimental versions of Gemini 2.0, but

Top Skills to Build AI Agents in 2025

AI agents are no longer a futuristic concept; they’re changing how teams build, automate, and ship software today. These autonomous systems can navigate complex workflows, use tools, learn from data, and make decisions that once required human oversight. As organizations integrate agentic capabilities into LLM-powered products and internal

Is RAG Dead? The Rise of Cache-Augmented Generation

As language models evolve, their context windows keep getting longer—and AI teams are rethinking how much information to include up front versus retrieve on demand at inference time. This shift is challenging assumptions about retrieval, latency, cost, and prompt design. Enter Cache-Augmented Generation (CAG), an approach gaining attention

Unlocking the Human Tone in AI

I have a confession: I talk to robots. A lot. Not the shiny, sci-fi kind (though I wouldn't say no), but the digital minds behind the chatbots, the writing assistants, the AIs that are weaving themselves into the fabric of our daily lives. And for a long

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