novita.ai’s Post

From one-hot to label encoding, Ryuichiro (Ryu) Sonoda offers an accessible roadmap for choosing the right encoding technique for the project you're working on, outlining the pros and cons of each.

This time, Jorge Antonio Olvera Mateos explains that the term ‘algorithm,’ is derived from the Latinized version of the name al-Khwarizm of the Persian polymath Muhammad ibn Musa al-Khwarizm. Please keep our blog post if you want to know more about it. 👇 #IPConsultores explain to you better! https://lnkd.in/g6zP6Qy3

This time, Jorge Antonio Olvera Mateos explains that the term ‘algorithm,’ is derived from the Latinized version of the name al-Khwarizm of the Persian polymath Muhammad ibn Musa al-Khwarizm. Please keep our blog post if you want to know more about it. 👇 #IPConsultores explain to you better! https://lnkd.in/gWvHakdq

"In light of a recent thought-provoking article by Caecilia Mediana at Harian Kompas , it's become evident that the principles guiding ESG (Environmental, Social, and Governance) ratings in the mining industry hold valuable lessons for the burgeoning field of Artificial Intelligence. As we navigate the complexities of AI development, the necessity for aligning with ESG standards cannot be overstated. Government bodies and investors alike have a pivotal role to play in this alignment, ensuring that AI technologies not only advance in sophistication but also in their contribution to a sustainable and equitable future. This dual focus on innovation and responsibility is crucial for fostering an environment where AI can thrive as a force for good. It's time for stakeholders across the board to consider how they can incentivize ESG-compliant practices in AI, mirroring the successful models already established in other sectors. Such initiatives will not only enhance the ethical dimensions of AI development but also its long-term viability and acceptance in society. Link: https://lnkd.in/gwsGRkik #AI #digitaleconomy #Indonesia #ESG #sustainability

Building a Document-based Question Answering System with LangChain and LLaMA 2 🚀 Workshop Overview: In this engaging and informative workshop, we dive deep into the world of document-based question answering systems. Learn how to leverage the powerful capabilities of LangChain combined with the LLaMA 2 model and FAISS for efficient vector storage. This session is meticulously designed for tech professionals, students, and anyone with a keen interest in the frontier of advanced AI applications. 📚 What We Cover: Introduction to LangChain: Understand the principles and functionalities of LangChain in AI-driven applications. Exploring LLaMA 2 Model: Delve into the capabilities of LLaMA 2, a state-of-the-art large language model, and see how it can be utilized for complex question answering tasks. FAISS for Vector Storage: Learn about FAISS (Facebook AI Similarity Search), its role in efficient vector storage, and how it enhances the performance of document-based systems. Hands-On Demonstration: Witness a live demonstration showing the integration and functioning of these technologies in building an effective question answering system. 👩💻 For Whom: This workshop is perfectly tailored for: Tech Professionals: Looking to enhance their skills in advanced AI technologies. Students: Eager to learn about cutting-edge developments in AI and how they can apply these in their future careers. AI Enthusiasts: Anyone fascinated by AI, machine learning, and natural language processing and seeking to understand the practical applications of these technologies. 🔗 Connect and Learn: Don't miss this opportunity to gain insights from experts and connect with fellow enthusiasts in the field. Engage in interactive Q&A sessions and get your questions answered. Network with peers and professionals and expand your understanding of AI's possibilities. 💡 Join the Workshop: Bookmark this session, gather your questions, and prepare to immerse yourself in a world where AI meets practical application. Let's explore together the endless possibilities that LangChain, LLaMA 2, and FAISS offer in the realm of AI and machine learning. 🔗 Follow the Host on LinkedIn: https://lnkd.in/dWCBuXwt 📺 Watch the Workshop on YouTube: #LLaMA2 #LangChain #AIWorkshop #DocumentBasedQA #TechLearning #MachineLearning #DataScience #NLP #AIApplications #GenAI #llms #llm #ml #dataanalytics #datascientist #softwareengineer

Building a Document-based Question Answering System with LangChain and LLaMA 2 🚀 Workshop Overview: In this engaging and informative workshop, we dive deep into the world of document-based question answering systems. Learn how to leverage the powerful capabilities of LangChain combined with the LLaMA 2 model and FAISS for efficient vector storage. This session is meticulously designed for tech professionals, students, and anyone with a keen interest in the frontier of advanced AI applications. 📚 What We Cover: Introduction to LangChain: Understand the principles and functionalities of LangChain in AI-driven applications. Exploring LLaMA 2 Model: Delve into the capabilities of LLaMA 2, a state-of-the-art large language model, and see how it can be utilized for complex question answering tasks. FAISS for Vector Storage: Learn about FAISS (Facebook AI Similarity Search), its role in efficient vector storage, and how it enhances the performance of document-based systems. Hands-On Demonstration: Witness a live demonstration showing the integration and functioning of these technologies in building an effective question answering system. 👩💻 For Whom: This workshop is perfectly tailored for: Tech Professionals: Looking to enhance their skills in advanced AI technologies. Students: Eager to learn about cutting-edge developments in AI and how they can apply these in their future careers. AI Enthusiasts: Anyone fascinated by AI, machine learning, and natural language processing and seeking to understand the practical applications of these technologies. 🔗 Connect and Learn: Don't miss this opportunity to gain insights from experts and connect with fellow enthusiasts in the field. Engage in interactive Q&A sessions and get your questions answered. Network with peers and professionals and expand your understanding of AI's possibilities. 💡 Join the Workshop: Bookmark this session, gather your questions, and prepare to immerse yourself in a world where AI meets practical application. Let's explore together the endless possibilities that LangChain, LLaMA 2, and FAISS offer in the realm of AI and machine learning. 🔗 Follow the Host on LinkedIn: https://lnkd.in/dWCBuXwt 📺 Watch the Workshop on YouTube: #LLaMA2 #LangChain #AIWorkshop #DocumentBasedQA #TechLearning  #MachineLearning  #DataScience #NLP  #AIApplications #GenAI  #llms  #llm  #ml #dataanalytics  #datascientist #softwareengineer https://lnkd.in/d5_5dpzr

What do the "Ides of March" have in common with GenAI? Much like Julius Caesar was warned by a soothsayer in Ancient Rome to beware the Ides of March, GenAI developers & users need to also be cautious and vigilant of the possible dangers and pitfalls of using the powerful tech. So how can you mitigate or manage the risks? Here’s my list of 7 suggestions in alphabetical order in this Singapore Computer Society post. https://lnkd.in/gegRSjry

This time, Jorge Antonio Olvera Mateos explains that the term 'algorithm' is derived from the Latinized version of the Persian polymath Muhammad ibn Musa al-Khwarizm's name al-Khwarizm. You can use this entry on our blog to learn more. 👇 https://lnkd.in/gWvHakdq

This time, Jorge Antonio Olvera Mateos explains that the term 'algorithm' is derived from the Latinized version of the Persian polymath Muhammad ibn Musa al-Khwarizm's name al-Khwarizm. You can use this entry on our blog to learn more. 👇 https://lnkd.in/g6zP6Qy3

Exploration of Parameters-efficient fine-tuning methods (LoRA/MoRA/DoRA) in LLM via #TowardsAI → https://bit.ly/4cAPRCK