Preventing Prompt Injection in OpenAI : A Case Study with Priceline’s OpenAI Tool “Penny”
Author(s): Jonathan Bennion Originally published on Towards AI. Image created by the author Another of the dirty little secrets of AI systems (and the hype surrounding their future) are ongoing prompt injection issues. Not a new security issue, yet we will be …
The Easiest Way To Stay Up to Date With Machine Learning.
Author(s): Serop Baghdadlian Originally published on Towards AI. Read 10x more relevant articles by building the most efficient system for tracking and organizing machine learning & engineering articles.Photo by Fujiphilm on Unsplash Have you ever felt that you’re not staying up to …
Top Important LLMs Papers for the Week from 01/07 to 07/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
How Algorithms are Saving Lives
Author(s): Mazen Ahmed Originally published on Towards AI. AI in Early Disease DetectionImage by Author I find it deeply fascinating how the development of mathematics, in particular algorithms, has touched almost every facet of human innovation. As we enter the era of …
Optimizing Dynamic Pricing with Reinforcement Learning
Author(s): Shenggang Li Originally published on Towards AI. Utilizing DDPG and SHAP for Pricing Strategies in RetailPhoto by Brooke Lark on Unsplash Retail pricing strategies are important for optimizing sales and profits. Effective pricing influences consumer behavior and maximizes revenue by considering …
Comparative Analysis of Fine-Tuning LLaMA 2 and LLaMA 3 Models with RTX 4090
Author(s): Lorentz Yeung Originally published on Towards AI. Picture generated by Dall-E. Two digital llamas racing against each other, one labeled ‘Gen 2’ and the other ‘Gen 3’ When beginning LLM operations, a key question is which model to use. As a …
The Concern of Privacy with LLMs
Author(s): Louis-François Bouchard Originally published on Towards AI. Efficient Strategies to Balance Convenience, Privacy, and Cost Note: this post was written by 3 ML & AI engineers behind the High Learning Rate newsletter. Let’s talk about an important topic: the privacy concern …
Top 5 Hidden Assets Fueling NVIDIA’s Billion-Dollar AI Vision
Author(s): Mélony Qin (aka cloudmelon) Originally published on Towards AI. Decoding NVIDIA’s AI + HPC and software + hardware innovation strategy NVIDIA’s relentless pursuit of innovation and excellence in AI and high-performance computing (HPC) is underpinned by several hidden assets that collectively …
On Stochastic Parrots: Paper Review
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by David Clode on Unsplash Introduction A stochastic parrot is a metaphor often used to describe Artificial Intelligence, specifically language models. Parrots are known to mimic human language. Parrots learn to speak human …
How Nvidia trained Nemotron, better agents, and more #31
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We are excited to announce that ‘Building LLMs for Production’ is now also available to readers across the globe on the O-Reilly learning platform. But that’s not all. …
Training LLMs with Synthetic Data
Author(s): Louis-François Bouchard Originally published on Towards AI. How Nvidia trained Nemotron 340B Have you ever wondered why training large language models is such a massive challenge? The secret is the enormous amount of high-quality data these models need. But getting that …
Top Important Computer Vision Papers for the Week from 01/07 to 07/07
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, researchers from top research labs, companies, and universities publish exciting breakthroughs in various topics such as diffusion models, vision language models, image editing and generation, …
GraphRAG Analysis, Part 1: How Indexing Elevates Knowledge Graph Performance in RAG
Author(s): Jonathan Bennion Originally published on Towards AI. TLDR: Knowledge graphs may not significantly impact context retrieval — all knowledge graph RAG methods I examined showed similar context relevancy scores to those of FAISS (~0.74). Neo4j withOUT its own index achieves a …
AI Trends on TED
Author(s): GaryGeo Originally published on Towards AI. AI TED Talk Trends — Source: Author Introduction: The AI Zeitgeist Through the TED Lens If you are like me, you turn to TED videos to satisfy your curiosity or to be educated on innovative …
TAI #107: What do enterprise customers need from LLMs?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI saw hints of progress in multi-modal LLMs outside of OpenAI and Google, with SenseNova 5o from SenseTime and Kyutai unveiling …
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