Developers have a new AI-powered steering wheel to help them hug the road while they drive powerful large language models (LLMs) to their desired locations. NVIDIA NeMo SteerLM lets companies define knobs to dial in a model’s responses as it’s running in production, a process called inference. Unlike current methods for customizing an LLM, it…
Day: November 16, 2023
Trading Nouns and Adjectives for Variables and Function Calls
Career transformations take multiple forms and can occur at any stage of life. Technology is a great path for people who want to try something new, and Cisco Learning and Certifications offers an… Read more on Cisco Blogs Cisco Blogs
Python for Machine learning Part 4
Greetings and welcome to the fourth installment of Python fundamentals for Machine Learning. In our previous blog posts, we delved into… Continue reading on CodeNx » Machine Learning on Medium
Use foundation models to improve model accuracy with Amazon SageMaker
Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). A significant influence was made by Harrison and Rubinfeld (1978), who published a groundbreaking paper and dataset that became known informally as the Boston housing dataset. This seminal work proposed a method for estimating housing…
Type-Hinting DataFrames for Static Analysis and Runtime Validation
How StaticFrame Enables Comprehensive DataFrame Type Hints Photo by Author Since the advent of type hints in Python 3.5, statically typing a DataFrame has generally been limited to specifying just the type: def process(f: DataFrame) -> Series: … This is inadequate, as it ignores the types contained within the container. A DataFrame might have string column labels and…
Responsible AI at Google Research: Adversarial testing for generative AI safety
Posted by Kathy Meier-Hellstern, Building Responsible AI & Data Systems, Director, Google Research The Responsible AI and Human-Centered Technology (RAI-HCT) team within Google Research is committed to advancing the theory and practice of responsible human-centered AI through a lens of culturally-aware research, to meet the needs of billions of users today, and blaze the path…
Ensemble Learning Techniques: Bagging vs. Boosting
I. Bagging (Bootstrap Aggregating): Continue reading on Medium » Machine Learning on Medium
Fine-tune Whisper models on Amazon SageMaker with LoRA
Whisper is an Automatic Speech Recognition (ASR) model that has been trained using 680,000 hours of supervised data from the web, encompassing a range of languages and tasks. One of its limitations is the low-performance on low-resource languages such as Marathi language and Dravidian languages, which can be remediated with fine-tuning. However, fine-tuning a Whisper…
6 Problems of LLMs That LangChain is Trying to Assess
Learn how LangChain is changing the game by enhancing the use of advanced language models in technological developments. KDnuggets
The World’s Smallest Data Pipeline Framework
A simple and fast data pipeline foundation with sophisticated functionality. Photo by Ana Lucia Cottone on Unsplash Data wrangling is perhaps the job that occupies the most time from Data Scientists. Data wrangling includes cleaning, transforming, and generally manipulating data from its raw state into something useful. Like many activities, the wrangling process often needs to…