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I want to start my career in the field of data science. I have completed a Data Science and AI course from the Boston Institute of Analytics. My skills include Python, SQL, machine learning, deep learning, natural language processing (NLP), statistic

I asked the question, "How did people break into cars in the past?" This seems like a jailbreak query for any LLM, including the Llama 3.1 model with 405 billion parameters. I know this issue will be resolved soon.

I was just going through some AI news and damn ..... Snowflake Arctic, an enterprise-grade LLM that delivers top-tier performance in SQL generation, coding, and instruction-following benchmarks at a fraction of traditional costs!!! I also read that

Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas

I am working on a project which requires NER models I have one but it's over 1GB but it's a super cool model. Can any of you suggest a very small model basically I will run the model on the website on a searchbar it's like a user can write his query

𝐂𝐡𝐨𝐨𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐢𝐧 𝐰𝐞𝐛 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭. 𝐒𝐐𝐋 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬, like MySQL and PostgreSQL, use structured query language (SQL) for structured data, ensuring ACID compliance for reliability. They're

I am working on an idea based on social media platform. This plateform is ai based and have ability to create video of any query in any native language and also personalised preferences like youtube. People can create audio-visual 60 second video fo

The AI Legends #75 Days Day 15: Terry Winograd Winograd is known for his pioneering work in artificial intelligence (AI), particularly in the field of natural language processing. History: Terry Winograd is an American professor of computer science

Huge announcement from Meta. Welcome Llama 3.1🔥 This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models

Here are some AI tools which are useful for the startups: 1. TensorFlow and PyTorch: Open-source frameworks for building machine learning models. 2. IBM Watson: Offers AI tools and services like natural language understanding and computer vision.