Deciding What Algorithm to Use for Earth Observation.
Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Deciding What Algorithm to Use for Earth Observation. Created by the author with DALL E-3 What to choose, what to choose, should you unleash your inner child and do the classic eenie meenie …
#56 Let’s Start the Year With LLM Fundamentals and Emerging Trends!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We are starting the new year strong with discussions on LLM basics like transformers and neural networks and emerging techniques such as fine-tuning, agents, and RAG. You can …
#54 Things are never boring with RAG! Vector Store, Vector Search, Knowledge Base, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. This week, we dive into our beloved RAG, but all new things. This week’s resources focus a lot on how to make RAG work for you and what you need for it. …
Is AI Worth the Cost? ROI Insights for CEOs Targeting 2025 Growth
Author(s): Konstantin Babenko Originally published on Towards AI. Source: Image by ImageFlow on Shutterstock 74% of companies fail at AI ROI — discover what you can do to drive real results. According to a current NTT Data digital business survey, nearly all …
Building a Local Committee-of-Expert (CoE) RAG Application for Document Discovery
Author(s): Kamban Parasuraman Originally published on Towards AI. Photo by Vlad Deep on Unsplash I n today’s fast-paced world, where access to timely and accurate information can be a critical differentiator, organizations across various sectors constantly seek innovative solutions to stay ahead …
3 Ways Python-Driven Geospatial Machine Learning Could Save The Amazon
Author(s): Stephen Chege Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. The Amazon rainforest, a critical component in the fight against climate change, faces growing threats from deforestation and illegal activities. As the …
Ways to Deal With Hallucinations in LLM
Author(s): Igor Novikov Originally published on Towards AI. Image by the author One of the major challenges in using LLMs in business is that LLMs hallucinate. How can you entrust your clients to a chatbot that can go mad and tell them …
The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them
Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, it’s time to reflect on the …
Solving Facility Location
Author(s): Saif Ali Kheraj Originally published on Towards AI. We will start with one important use case to solve a facility location problem. Suppose we have a service-based company named MMM that sells different products to customers across various regions. Every year, …
LLM Agents and Agentic Design Patterns
Author(s): Maithri Vm Originally published on Towards AI. Photo by Jehyun Sung on Unsplash Agentic AI is the next big milestone in the evolution of AI, as we advance from standalone AI solutions to more distributed intelligent agents capable of solving complex …
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