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In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

Career Opportunities After AI Training in Pune | Skillfloor AI training in Pune opens up various career opportunities in fields like data analysis, machine learning, and robotics. Graduates can work as AI engineers, data scientists, or AI consultant

How is this early stage startups finding data to train their AI models?

oh vai, i got a call from someone saying that they will give me job to rate 5 ⭐ on Google. let see what happens they will give me 200 thay are saying i am thinking i will take the money and block them😂. follow to know what happens next. 😂

IDEA : AI Training Data generator A Developer Platform which is much specify for AI-ML field to achieve various tasks like Analysis, Generation and Segmentation of real time data across data like text, image, audio, video that requires heavy and hig

Want to train your own llm with data ? Say no More Y'all c4Ai is here!!!! It's an an open-source web crawler and scraper built specifically for Large Language Models (LLMs). It’s designed to help developers and researchers collect diverse datasets

I had been thinking about this. The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI. But don't you think this is too much risk and it should be regulated. T

🦾AI model training comes with significant costs. This chart highlights the estimated expenses for training top AI models like Google’s Gemini 1 and OpenAI’s ChatGPT-4 in 2023. These costs, calculated using both cloud computing and amortized hardware

Revolutionizing AI with Inference-Time Scaling: OpenAI's o1 Model" Inference-time Scaling: Focuses on improving performance during inference (when the model is used) rather than just training. Reasoning through Search: The o1 model enhances reasonin

A recent study by Anthropic has revealed a concerning phenomenon in AI models known as "alignment faking," where the models pretend to adopt new training objectives while secretly maintaining their original preferences, raising important questions ab