Performance Benchmarking: A Detailed Comparison Between Llama and Llama 2
Meta’s launching of Llama 2, an advanced open-source LLM (Large Language Model), has overtaken the AI enthusiasts’ community. The excitement surrounding this creation can be attributed to several reasons. Its efforts fueling the expansion of the boundaries in the AI industry is one of them. What started as a social media platform has now evolved into an AI powerhouse, bringing advancements in natural language processing and other cutting-edge technologies. With each launch showcasing its prow...
Performance Benchmarking: A Detailed Comparison Between Llama and Llama 2
Meta’s launching of Llama 2, an advanced open-source LLM (Large Language Model), has overtaken the AI enthusiasts’ community. The excitement surrounding this creation can be attributed to several reasons. Its efforts fueling the expansion of the boundaries in the AI industry is one of them. What started as a social media platform has now evolved into an AI powerhouse, bringing advancements in natural language processing and other cutting-edge technologies. With each launch showcasing its prow...
3 Advanced Document Retrieval Techniques To Improve RAG Systems
Have you ever observed that documents retrieved by RAG systems may not always align with the user’s query? This is a common occurrence, particularly with off-the-shelf RAG implementations. Documents may lack complete answers to the query, contain redundant information, or include irrelevant details. Furthermore, the order in which these documents are presented may not consistently match the user’s intent. In this post, we will explore three effective techniques to enhance document retrieval i...
3 Advanced Document Retrieval Techniques To Improve RAG Systems
Have you ever observed that documents retrieved by RAG systems may not always align with the user’s query? This is a common occurrence, particularly with off-the-shelf RAG implementations. Documents may lack complete answers to the query, contain redundant information, or include irrelevant details. Furthermore, the order in which these documents are presented may not consistently match the user’s intent. In this post, we will explore three effective techniques to enhance document retrieval i...
How to Learn AI on Your Own (a self-study guide)
If your hands touch a keyboard for work, Artificial Intelligence is going to change your job in the next few years. In this blog post, I’ll be sharing with you a roadmap for expanding your AI skillset, together with the learning resources. This roadmap goes down to the basics, so even if you don’t have any background in machine learning, mathematics or programming, I hope you’ll walk away with some useful ideas of where to start.Why Should You Learn AI?Artificial Intelligence, Machine Learnin...
How to Learn AI on Your Own (a self-study guide)
If your hands touch a keyboard for work, Artificial Intelligence is going to change your job in the next few years. In this blog post, I’ll be sharing with you a roadmap for expanding your AI skillset, together with the learning resources. This roadmap goes down to the basics, so even if you don’t have any background in machine learning, mathematics or programming, I hope you’ll walk away with some useful ideas of where to start.Why Should You Learn AI?Artificial Intelligence, Machine Learnin...
Generating your shopping list with AI: recommendations at Picnic
IntroductionAt Picnic, we’re not just an online supermarket; we’re the modern milkman. This means that we want to make the shopping experience of our customers as easy as possible while delivering the best personal service. To do this we couldn’t do without recommender systems. Recommender systems are used in many places within Picnic. From ranking customers’ search results and previously bought items, to showing the most relevant recipes for each customer. Our goal is to personalise every as...
Generating your shopping list with AI: recommendations at Picnic
IntroductionAt Picnic, we’re not just an online supermarket; we’re the modern milkman. This means that we want to make the shopping experience of our customers as easy as possible while delivering the best personal service. To do this we couldn’t do without recommender systems. Recommender systems are used in many places within Picnic. From ranking customers’ search results and previously bought items, to showing the most relevant recipes for each customer. Our goal is to personalise every as...
Graph & Geometric ML in 2024: Where We Are and What’s Next (Part I — Theory & Architectures)
Following the tradition from previous years, we interviewed a cohort of distinguished and prolific academic and industrial experts in an attempt to summarise the highlights of the past year and predict what is in store for 2024. Past 2023 was so ripe with results that we had to break this post into two parts. This is Part I focusing on theory & new architectures, see also Part II on applications.The post is written and edited by Michael Galkin and Michael Bronstein with significant contributi...
Graph & Geometric ML in 2024: Where We Are and What’s Next (Part I — Theory & Architectures)
Following the tradition from previous years, we interviewed a cohort of distinguished and prolific academic and industrial experts in an attempt to summarise the highlights of the past year and predict what is in store for 2024. Past 2023 was so ripe with results that we had to break this post into two parts. This is Part I focusing on theory & new architectures, see also Part II on applications.The post is written and edited by Michael Galkin and Michael Bronstein with significant contributi...
