AskHandle Blog

Featured insights from the AskHandle team.

Most recent featured

A Glimpse at the Sports Lighting Up the Olympic Torch in 2024

January 31, 2025 · Nina Kimes · 3 min read

As the world gears up for the grand spectacle of athleticism and unity, the Olympic Games, all eyes turn toward Paris, the host city for the 2024 Summer Olympics. This event, a blend of tradition and innovation, never ceases to amaze with its charismatic showcase of sports. The Paris 2024 Olympics plans to build on this legacy with a plethora of sports that promise to bring together athletes from across the globe in a testament to their dedication, hard work, and the relentless pursuit of excellence.

Read the full story →

January 31, 2025
AI Distillation: Making Big Brains Smaller
Jessy Chan · 10 min read
Large language models are powerful tools, but they need a lot of resources. Knowledge distillation compresses these large models into smaller ones that work on devices with limited power. It's like learning from a wise teacher and then summarizing that knowledge into a smaller, easy-to-use notebook.
January 30, 2025
Decision-Making: Humans vs. AI
Nina Kimes · 3 min read
The question of whether humans or AI make better decisions is important in various fields, from business and healthcare to personal choices. This topic involves factors like speed, efficiency, bias, ethical considerations, and adaptability.
January 29, 2025
What is a Prompt for a Large Language Model?
Ben Larson · 6 min read
Large language models (LLMs) are powerful tools that can generate text, translate languages, and answer questions. But how do these models work with words? The secret lies in something called "tokens". This article will explain what tokens are and how they are used in the world of AI.
January 29, 2025
10 Key Approaches to Elevate the Retail Customer Experience
Nicole Davids · 8 min read
The retail industry is undergoing a profound transformation, driven by the convergence of cutting-edge technologies and a deep focus on customer centricity. From personalized shopping experiences powered by Artificial Intelligence (AI) to immersive in-store encounters enhanced by Augmented Reality (AR), the future of retail promises to redefine the way we shop. This technological revolution is revolutionizing every aspect of the retail landscape, from inventory management and data analytics to seamless checkouts and employee training. As retailers embrace these innovations, they unlock the potential to create experiences that are not just transactional but truly transformative.
January 29, 2025
Navigating the Maze of Retail Customer Service
Emily Henderson · 5 min read
In the vibrant marketplace of retail, where commerce unfurls with drama and vibrancy, customer service has often been a neglected character, lurking in the shadows. Yet, there's an awakening in this realm, a shift towards a brighter era where customer service is no longer an afterthought but a central narrative in the retail saga.
January 28, 2025
What Are Tokens in Large Language Models?
Ben Larson · 3 min read
Large language models (LLMs) are powerful tools that can generate text, translate languages, and answer questions. But how do these models work with words? The secret lies in something called "tokens". This article will explain what tokens are and how they are used in the world of AI.
January 27, 2025
What Is the Training Loss in Fine-Tuning?
Dustin Collins · 6 min read
Fine-tuning a pre-trained model is a popular method in machine learning. It allows us to adapt a model, already skilled in a broad area, to a specific task with limited data. A very important part of this process is watching the training loss. This value shows us how well our model is learning, and it guides us toward a better final result.
January 27, 2025
Exploring the Key Factors Behind the First Winter of AI
Melissa Olson · 3 min read
Artificial Intelligence (AI) has seen its fair share of ups and downs, with periods of intense hype often followed by disillusionment and a colder climate for innovation and funding, known as an "AI winter." The very first of these winters, occurring in the mid-1970s, serves as a historical lesson for the cycles of AI progress and expectations.
January 27, 2025
How AI Derives Meaning from Text using Natural Language Processing
Melissa Olson · 3 min read
Artificial Intelligence (AI) has significantly advanced the field of human-computer interaction through the development of Natural Language Processing (NLP). NLP is a branch of AI that focuses on the interaction between computers and human languages, and it is fundamentally concerned with enabling computers to understand and process natural language data—human language in the form of spoken or written text.
January 26, 2025
What is LLM Fine-Tuning
Lillian Kim · 3 min read
Fine-tuning large language models has become a hot topic in the field of artificial intelligence. This process enhances the model’s performance on specific tasks or in particular domains, making it a vital part of deploying AI effectively. In this article, we will explore what LLM fine-tuning is, why it is necessary, and how it can be used across various industries.
January 26, 2025
Understanding Unstructured, Structured, and Semi-Structured Data
Dustin Collins · 3 min read
Data is crucial for organizations, influencing decision-making and improving efficiencies. Recognizing the differences between unstructured, structured, and semi-structured data is vital. Each type demands unique storage, processing, and analysis methods. Understanding these distinctions can enhance data management practices.
January 26, 2025
The Role of Artificial Intelligence in Sorting Fruits: Apples, Oranges, and Bananas
Junjie Shi · 3 min read
Artificial Intelligence (AI) is revolutionizing industries across the globe, and one of its less heralded but equally fascinating applications is in the sorting of fruits like apples, oranges, and bananas. This process, quintessential for grocery stores, markets, and packaging operations, involves distinguishing and segregating different types of fruits quickly and accurately. Gone are the days of relying solely on human labor for this task; AI makes it more efficient and reliable.
January 25, 2025
Fine-Tuning Large Language Models: A Comprehensive Guide
Dustin Collins · 6 min read
Data labeling is a foundational process in the development of AI systems. It involves annotating raw data to make it understandable for AI algorithms. Whether it’s training a chatbot, enabling self-driving cars, or improving healthcare diagnostics, data labeling is a critical step that ensures AI systems can learn, reason, and make decisions effectively. This article explores what data labeling is, its importance in AI, and how it shapes the future of intelligent systems.
January 25, 2025
What Is AI in Simple Words?
Annie Hayes · 3 min read
Have you ever seen a robot in a movie and thought, “Wow, I wish I had a friend like that”? Someone who could answer all your questions, play games with you, and maybe even do your homework? Well, guess what? That's not just movie magic anymore. Welcome to the fascinating world of Artificial Intelligence, or AI for short. It's like a genie in your computer, phone, or even your fridge, and it's changing our lives in ways big and small.
January 24, 2025
Is AI a Cheap Energy Play? How Energy Costs Affect AI Training
Jessy Chan · 5 min read
Artificial intelligence is rapidly changing many parts of our lives, from enhancing productivity to transforming industries. But powering these advanced systems requires significant amounts of energy. This raises an important question: does the quest for cheaper energy play a central role in AI development? And if energy becomes cheaper, does it automatically lower the cost of training complex AI models?
January 24, 2025
The Top 10 AI Buzzwords Shaping 2024
Aria Singh · 5 min read
AI continues to sculpt the landscape of technology and innovation, with 2024 no exception to this rapid evolution. As we find ourselves amidst a whirlwind of progress, certain buzzwords echo through the corridors of startups and the boardrooms of tech moguls. Here's a rundown of the ten AI keywords that everyone should keep on their radar this year.
January 23, 2025
How to Fine-Tune GPT Models?
Dustin Collins · 10 min read
Fine-tuning GPT models gives you the ability to tailor their behavior to your specific needs, whether for customer service, technical support, or any other specialized task. This guide will walk you through the process of fine-tuning a model using OpenAI's platform, including how to prepare your data, upload it, and start the training process.
January 23, 2025
Buzzing Through the World of Open AI: 15 Buzzwords Unveiled
Steven Moore · 3 min read
Welcome to our virtual hive where the buzz about Open AI is as loud as it's exciting! Open AI, an entity that's as mystifying as the deepest of oceans, yet as accessible as your neighbourhood park, has become a powerhouse of innovation and discussion. Let's embark on a vibrant tour through a garden of 15 buzzwords that capture the essence and drive the conversation about Open AI. Fasten your cyber seatbelts and get ready for a ride through a landscape where words are windows to an electrifying future.
January 23, 2025
Elon Musk: The Visionary Disrupting Industries
Aria Singh · 3 min read
When it comes to innovation and disruption, few names resonate as strongly as Elon Musk. This billionaire entrepreneur has a knack for turning science fiction dreams into tangible actuality. Below are ten keywords that embody the essence of Musk’s ventures and ideology.
January 22, 2025
What Are the Advantages of Using Fine-Tuned LLMs?
Dustin Collins · 3 min read
Large language models (LLMs) have changed how we interact with computers. They can write poems, answer questions, and even generate code. But, sometimes, a general-purpose LLM isn’t enough. This is where fine-tuning comes into play. Fine-tuning involves taking a pre-trained LLM and training it further on a specific set of data. This process creates an LLM that excels at a specific task. Think of it like training a general athlete to become a specialist in one sport. The base training provides the foundation, and fine-tuning sharpens the skills for a specific purpose. The advantage gained from fine-tuning is considerable, giving very specific outputs.
January 21, 2025
What Does Fine-tuning a Large Language Model Like Llama Mean?
Dustin Collins · 3 min read
Large language models like Llama have become very popular tools for creating text, translating languages, and many other things. These powerful models are trained on huge collections of text, giving them a general knowledge of language. But what if you want Llama to be really good at a specific task, like answering customer service questions or writing code in a certain style? That's where fine-tuning comes in.
January 21, 2025
Disneyland: A Lover’s Feast on Valentine's Day
Melissa Olson · 3 min read
As February 14th approaches, couples look for the ideal way to celebrate love. While flowers and chocolates are classic favorites, a trip to Disneyland for Valentine's Day brings a unique magic. The park offers a tempting selection of treats that can make this day special.
January 20, 2025
Setting Up Data for GPU-Based AI Training
Dustin Collins · 3 min read
Creating a robust environment for AI training using GPUs requires strategic data preparation. As organizations strive to harness the potential of artificial intelligence, the importance of data cannot be overstated. This guide focuses on how to appropriately set up data to ensure optimal performance during the training phase.