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"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

Will AI hit a wall? 🤔 Future advanced models need complex data—but is there enough available? Or are we running out of high-quality training data? What’s the solution? More synthetic data? Better datasets? Discuss! ⬇️

Google DeepMind’s CaMeL: A Breakthrough in Stopping AI’s "Prompt Injection" Problem? For years, prompt injection attacks (where hidden instructions trick AI models into bypassing safeguards) have haunted developers. Despite countless fixes, no solut

China Builds AI Chatbot Trained On Xi Jinping's Thoughts: Here’s All That It Can Do China has launched a new chatbot based on the political philosophy of its leader, Xi Jinping, as the Financial Times and the South China Morning Post

Proud Milestones with CleanXo! Post Body: Today, I want to share some achievements in my journey building CleanXo, my automated data science platform! Here’s what I’ve accomplished so far: Designed the full vision for CleanXo: from data cleaning t

"I'm building an automated data cleaning platform, CleanXo, that simplifies the entire data preprocessing pipeline. It will automatically detect and handle outliers (Z-score, IQR, Isolation Forest), perform feature engineering, generate insights with

AI-Driven Emotional Intelligence Chatbot for Businesses I have an idea on advanced AI-powered chatbot designed to not only respond to customer queries but also understand their emotions in real-time. This emotionally intelligent chatbot adapts its t

I am thinking about an AI model with multiple languages support especially devnagari script languages , we are planning to build an RAG to parse a document and provide the data to the LLM , is this idea feasible and useful suggestions are welcomed

Meta has released Llama 3.1, the first frontier-level open source AI model, with features such as expanded context length to 128K, support for eight languages, and the introduction of Llama 3.1 405B. The model offers flexibility and control, enabli

🔮 No-Code AI Revolution: Multi-Agent Systems for Everyone! Multimodal LLM-based multi-agent systems are now accessible through no-code platforms. Game-changer alert! 🚀 Why it matters: - Non-technical teams can implement complex AI - Handle text,