LLMs

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Building a Real Image Matching Project with Gemini Embedding 2

Google recently introduced Gemini Embedding 2, its first natively multimodal embedding model. This is an important step forward because it brings text, images, video, audio, and documents into a single shared embedding space. Instead of working with separate models for each type of data, developers can now use one embedding model across multiple modalities for […]

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LLMs can unmask pseudonymous users at scale with surprising accuracy

Burner accounts on social media sites can increasingly be analyzed to identify the pseudonymous users who post to them using AI in research that has far-reaching consequences for privacy on the Internet, researchers said. The finding, from a recently published research paper, is based on results of experiments correlating specific individuals with accounts or posts

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The Top 10 LLM Evaluation Tools

LLM evaluation tools help teams measure how a model performs across various tasks, including reasoning, summarization, retrieval, coding, and instruction-following. They analyze performance trends, detect hallucinations, validate outputs against ground truth, and benchmark improvements during fine-tuning or prompt engineering. Without robust evaluation frameworks, organizations risk deploying unpredictable or harmful AI systems. How LLM Evaluation Tools

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Google Launches Nano Banana 2: Learn All About It!

Nano Banana! The image model that took the world by storm just got eclipsed by…itself. Yes! Google did it again. After establishing standards by their release of Nano banana, they are back with its high anticipated follow-up: Nano Banana 2 (officially designated as Gemini 3.1 Flash Image). This new model bridges the gap between studio-quality

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Nano Banana 2: Google’s latest AI image generation model

Nano Banana! The image model that took the world by storm just got eclipsed by…itself. Yes! Google did it again. After establishing standards by their release of Nano banana, they are back with its high anticipated follow-up: Nano Banana 2 (officially designated as Gemini 3.1 Flash Image). This new model bridges the gap between studio-quality

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Building a Personal Productivity Agent with GLM-5 

Who has ever had a great idea about an application, only to be confronted with the reality of the development dread, which may take weeks, or even months. The path between the idea and a working product can be tiresome. Imagine that you could fit that whole procedure into the amount of time you spend

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Building a Self-Improving AI Support Agent with Langfuse 

Building an LLM prototype is quick. A few lines of Python, a prompt, and it works. But Production is a different game altogether. You start seeing vague answers, hallucinations, latency spikes, and strange failures where the model clearly “knows” something but still gets it wrong. Since everything runs on probabilities, debugging becomes tricky. Why did

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Microsoft deletes blog telling users to train AI on pirated Harry Potter books

Following backlash in a Hacker News thread, Microsoft deleted a blog post that critics said encouraged developers to pirate Harry Potter books to train AI models that could then be used to create AI slop. The blog, which is archived here, was written in November 2024 by a senior product manager, Pooja Kamath. According to

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Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI

Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, platform, purchasing power, the model has

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