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Me and ChatGPT: Abstract Image

on August 18, 2025

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Five Alternatives to Hugging Face

With its Transformers library, model hub, and inference APIs, Hugging Face has become quite a household name in AI and machine learning. However, it isn't the only platform that one could use. Depending on the reason behind your search, maybe a flexible API gateway, better deployment experience, or different pricing models and community ecosystems, there are more great alternatives to choose from. Here are five that are some of the better-known alternatives to Hugging Face for deploying, using, or accessing machine learning models: 1. OpenRouter What is it? OpenRouter is a universal API router to access large language models (LLMs) from any provider like OpenAI, Anthropic, Mistral, among others from a single interface. Why is it an alternative? Unified access to models coming from multiple vendors. Standard OpenAI-compatible API for seamless integration. A good way of routing requests to the best-performing mo...

5 Unusual AI Applications That Redefined the Limits (and Risks) of Artificial Intelligence

Artificial Intelligence is everywhere—from customer support chatbots to self-driving cars. But beyond the practical and polished applications, there’s a stranger, more experimental side to AI. This blog post dives into five unusual AI projects that stand out for their ambition, controversy, or sheer novelty. Some showcased the promise of machine learning. Others revealed its darkest vulnerabilities. 1. Tay: When AI Learns Too Fast In 2016, Microsoft launched Tay , a Twitter chatbot designed to learn from human interaction and mimic the speech patterns of a teenage girl. Within hours, it turned from cheerful to chaotic. Trolls exploited Tay’s learning model by feeding it inflammatory content. By the end of its first day online, it was tweeting hate speech, conspiracy theories, and offensive memes. Why It Mattered: Tay became a chilling demonstration of how easily AI can reflect the worst of the internet without proper safeguards. It was pulled offline within 24 hours, leaving beh...

Five Open Weight Large Language Models

AI open-source movement is in the fast lane, with enormous language models (LLMs) at the driver end. Behind closed walls, proprietary programs of OpenAI, Anthropic, Google, etc. get headlines, whereas open-source LLMs are gaining rapidly, vying for performance, flexibility, and economic viability. Hypothetically, be that an indie developer building chatbots, a researcher doing fine-tuning tests, or an enterprise after vendor independence, such powerful offerings from open-source LLMs provide an alternative. Here are five large thoroughly interesting open-source LLMs worth your eyeball: 1. LLaMA (Meta AI) What it is: LLaMA(Large Language Model Meta AI) constitutes a family of foundational language models being set up by Meta to be efficient, scalably, open to researchers, and developers. Key Highlights: Fully open with commercial usage rights for LLaMA 2. Size is varied(7B, 13B, 70B). Trained with publicly available datasets. Strong relative performance compared with proprietary models ...

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Me and ChatGPT: Abstract Image

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