Hands-On Introduction to Open AI Function Calling
Author(s): Youssef Hosni Originally published on Towards AI. A few months ago, OpenAI introduced a new capability to its API, enhancing its most recent models to accept additional parameters for function calling. These models are now fine-tuned to determine when it’s relevant …
Testing Prompt Engineering-Based LLM Applications
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On Prompt Engineering for LLMs Application Development Once such a system is built, how can you assess its performance? As you deploy it and users interact with it, how can you monitor its effectiveness, …
Top Data Validation Tools for Machine Learning
Author(s): Eryk Lewinson Originally published on Towards AI. Discover Python tools that can catch any issues with your data!Image generated with Midjourney It was challenging to stop myself from starting this article with some variation of the popular phrase “garbage in, garbage …
Understanding MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Author(s): Hesam Sheikh Originally published on Towards AI. the math and intuition behind a novel parameter-efficient fine-tuning methodThe outline of MoRA vs LoRA. (source: MoRA paper) A recent, “MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning”, introduces a new method into the family of …
LoRA Learns Less and Forgets Less
Author(s): Hesam Sheikh Originally published on Towards AI. We will go through LoRA (Low-Rank Adaptation of Large Language Models), what it is, and the interesting properties of LoRA when compared to Full Fine-TuningLoRA from the original paper. LoRA is one of the …
Top Important LLMs Papers for the Week from 27/05 to 02/06
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 …
Automatic Trend Change Points Detection in Time Series Analysis
Author(s): Daniel Pollak Originally published on Towards AI. Photo by rc.xyz NFT gallery on Unsplash Lately, I’ve been extensively involved in analyzing high-frequency time series characterized by linear trends. My focus has been on developing a dependable and simple forecasting model, based …
Top Important Computer Vision Papers for the Week from 27/05 to 02/06
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, …
Can Transformer Substitute Graph Neural Networks?
Author(s): Salvatore Raieli Originally published on Towards AI. Are transformers able to do graph reasoning and to which extent?image generated by the author using AI Mathematical reasoning may be regarded rather schematically as the exercise of a combination of two facilities, which …
Mastering Evaluations in LangSmith: Enhancing LLM Performance
Author(s): Mostafa Ibrahim Originally published on Towards AI. Source Large Language Models (LLMs) are AI models capable of generating text that resembles human language. They are trained on extensive text datasets and are suitable for various natural language processing tasks, including translation, …
Classifying NBA Positions by Physical Traits — Part I
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Photo by Markus Spiske on Unsplash In 2019, NBA teams spent over 3 billion dollars on guaranteed salaries to players in the first three days of free agency. These expensive contracts often lock …
Evaluating LLM Applications Using LangChain
Author(s): Youssef Hosni Originally published on Towards AI. Hands-On LangChain for LLM Application Development When constructing a sophisticated application employing an LLM, a crucial yet challenging aspect revolves around evaluating its performance. How can you ascertain if it meets accuracy standards? Moreover, …
Technical Post-Mortem of a Data Migration Event
Author(s): Vishnu Regimon Nair Originally published on Towards AI. Key Objectives of Data Migration. Image by Author In this data-driven landscape, extracting the maximum value from data is crucial for success. As data volumes grow exponentially, organizations face considerable pressure to optimize …
Prompt Engineering Best Practices: Building an End-to-End Customer Service System
Author(s): Youssef Hosni Originally published on Towards AI. Prompt engineering plays a pivotal role in crafting queries that help large language models (LLMs) understand not just the language but also the nuance and intent behind the query and help us build complex …
Exploration of Markov’s and Chebyshev’s Inequality: It’s Application in Data Science
Author(s): Ghadah AlHabib Originally published on Towards AI. Image generated by ChatGPT Introduction to Markov’s Inequality Markov’s inequality provides an upper bound on the probability that a non-negative random variable is at least as large as a certain value or threshold. It …
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