Computer Science Forum

I see that there are many questions here regarding complexity analysis, specifically regarding the Big-O notation of algorithms. I will attempt to shed some light on the subject. I will start with an introduction, after which I will go over some common complexities and last we will solve a few …

I often see people asking the same question over and over, "How do I learn to program, and where do I start?" Some people may take that question to the next level by asking, "Which language should I learn first?". The answer to those questions is fairly simple, but also …

Sentiment analysis, a subfield of Natural Language Processing (NLP), aims to discern and classify the underlying sentiment or emotion expressed in textual data. Whether it is understanding customers' opinions about a product, analyzing social media posts, or gauging public sentiment towards a political event, sentiment analysis plays a vital role …

Just write your "codes" in Python, test it that way, and tweak your syntax in arbitrary directions so that your code suddenly becomes "pseudo" code. Thank you, and stop bothering me with your inane questions.

# What Are Voronoi Diagrams? # Voronoi Diagrams are an essential visualization to have in your toolbox. The diagram’s structure is a data-driven [tessellation](https://en.wikipedia.org/wiki/Tessellation) of a plane and may be colored by random or to add additional information. ## Learn the Lingo ## The set of points that generate the …

Hi guys, When you try to create a folder named CON in your windows, you might have have known that you are unable to create because its reserved key word which prevents it from being created. Similarly there are few other reserved names like this... PRN AUX NUL LPT1 COM1 …

**This forum is meant for discussing programming languages in addition to exchanging code and algorithms.** However, it has become a problem where too many students are posting homework problems expecting a quick solution without ever trying for themselves. Though we are all here to help, please don't expect quick solutions …

Open-source LLMs are gaining significant traction due to their ability to match the performance of advanced proprietary LLMs. These models are free to use and allow users to modify their source code or fine-tune them on their own systems, making them highly versatile for various applications. Alibaba's [Qwen](https://www.alibabacloud.com/en/solutions/generative-ai/qwen?_p_lc=1) and Meta's …

Are you interested in finding out what a YouTube channel mostly discusses? Do you want to analyze YouTube videos of a specific channel? If yes, we are in the same boat. YouTube video titles are a great way to determine the channel's primary focus. Plotting a word cloud or a …

I was searching for Paris Olympics ticket prices for tennis games recently. The official website directs you to a [PDF document](https://tickets.paris2024.org/obj/media/FR-Paris2024/ticket-prices.pdf) containing ticket prices and venues for all the games. However, I found the PDF document to be very hard to navigate. To make things easier, I developed a chatbot …

In my recent journey of developing various AI solutions powered by Language Models (LLMs), a significant question has emerged: Should we harness the capabilities of Retrieval Augmented Generation (RAG), or should we opt for the path of custom fine-tuning? This decision can profoundly impact the performance and adaptability of our …

What has Schrodinger got to do with the complex and paradoxical concept of quantum computing? The answer is that both Erwin and his hypothetical cat relate directly to this subatomic world. In fact, Schrodinger is often referred to as the father of quantum mechanics. ## Erwin who? ## [Erwin Schrodinger](https://en.wikipedia.org/wiki/Erwin_Schr%C3%B6dinger) …

It has been one of the great blogging success stories, not to mention literary mysteries. But now the true identity of the Diary of a London Call Girl blogger has been revealed, by Belle de Jour herself. The blog, based upon a secret life covering 14 months as a high …

There is little doubt that one of the most daunting tasks in all of computer programming is that of developing your own algorithms. Indeed, it is here where the term Computer Science comes to the fore as it is virtually a step-by-step process, so intricate and precise it truly is …

Bletchley Park, the top secret code breaking hub that played a pivotal role in the outcome of World War Two, has finally been awarded development funding of some £460,500 ($735,500) from the Heritage Lottery Fund. The money will literally save the place the saved the lives of countless people by …

On September 25, 2024, Meta released [the Llama 3.2 series of multimodal models](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/). The models are lightweight yet extremely powerful for image-to-text and text-to-text tasks. In this article, you will learn how to use the Llama 3.2 Vision Instruct model for general image analysis, graph analysis, and facial sentiment prediction. …

In one of my previous articles, I explained [how to generate stunning images for free using diffusion models](https://www.daniweb.com/programming/computer-science/tutorials/541898/generate-stunning-ai-images-for-free-using-diffusion-models) and showed how to generate Stability AI's diffusion models for text-to-image generation. Since then, the AI domain has progressed considerably, particularly in image generation. Black Forest Labs has released [Flux.1 series of …

On September 19, 2024, [Alibaba released the Qwen 2.5 series of models](https://qwenlm.github.io/blog/qwen2.5/). The Qwen 2.5-72B base and instruct models outperformed larger state-of-the-art models like Llama 3.1-405B on multiple benchmarks. It is safe to assume that Qwen 2.5-72B is a state-of-the-art open-source large language model. This article will show you how …

## Introduction ## In a previous article, I explained [how to fine-tune the vision transformer model for image classification in PyTorch](https://www.daniweb.com/programming/computer-science/tutorials/540749/fine-tuning-vision-transformer-for-image-classification-in-pytorch). In this article, I will explain how to fine-tune the pre-trained OpenAI Whisper model for audio classification in PyTorch. Audio classification is an important task that can be applied …

On July 18th, 2024, [OpenAI released GPT-4o mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/), their most cost-efficient small model. GPT-4o mini is around 60% cheaper than GPT-3.5 Turbo and around 97% cheaper than GPT-4o. As per OpenAI, GPT-4o mini outperforms GPT-3.5 Turbo on almost all benchmarks while being cheaper. In this article, we will compare the …

In my [previous article](https://www.daniweb.com/programming/computer-science/tutorials/542132/comparing-gpt-4o-vs-claude-3-5-sonnet-for-zero-shot-text-classification) I presented results comparing Anthropic [Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) and [OpenAI GPT-4o](https://openai.com/index/hello-gpt-4o/) models for zero-shot text classification. The results showed that the Claude 3.5 Sonnet significantly outperformed GPT-4o. These results motivated me to develop a simple retrieval augmented generation system with [LangChain](https://www.langchain.com/) that enables the Claude 3.5 …

On June 20, 2024, Anthropic released the [Claude 3.5 sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) large language model. Claude claims it to be the state-of-the-art model for many natural language processing tasks, surpassing the [OpenAI GPT-4o model](https://openai.com/index/hello-gpt-4o/). My first test for comparing two large language models is their zero-shot text classification ability. In this article, …

OpenAI announced the [GPT-4o (omni)](https://community.openai.com/t/announcing-gpt-4o-in-the-api/744700) model on May 13, 2024. The GPT-4o model, as the name suggests, can process multimodal inputs, such as text, image, and speech. As per OpenAI, GPT-4o is the state-of-the-art and best-performing large language model. Among GPT-4o's many capabilities, I found its ability to analyze images …

In my previous article, I explained how I developed a simple chatbot using LangChain and Chat-GPT that can answer queries related to Paris Olympics ticket prices. However, one major drawback with that chatbot is that it can only generate a single response based on user queries. It can not answer …

In the rapidly evolving field of Natural Language Processing (NLP), open-source large language models (LLMs) are becoming increasingly popular as they are free to use. Among these, the [Mistral](https://docs.mistral.ai/models/) family of models stands out as a state-of-the-art model that is freely accessible to the public. Comparable in performance to the …

Integrating language models like ChatGPT into third-party applications has become increasingly popular due to their ability to comprehend and generate human-like text. However, it's crucial to acknowledge the limitations of ChatGPT, such as its knowledge cut-off date in September 2021 and its inability to access external sources like Wikipedia or …

## Introduction ## Loss functions are the driving force behind all machine learning algorithms. They quantify how well our models are performing by calculating the difference between the predicted and actual outcomes. The goal of every machine learning algorithm is to minimize this loss function, thereby improving the model’s accuracy. …

As a researcher, I have often found myself buried under a mountain of research articles, each promising insights and breakthroughs crucial for my work. The sheer volume of information is overwhelming, and the time it takes to extract the relevant data can be daunting. However, extracting meaningful information from research …

Facial emotion detection, as the name suggests, involves detecting emotions from faces in images or videos. Recently, I was working on a facial emotion detection task and came across the DeepFace library that implements various state-of-the-art facial emotion detection models. However, in my experience, the performance of the DeepFace library …

Chatbots are software applications that can interact with humans using natural language. They can be used for various purposes, such as customer service, entertainment, education, and more. Chatbots can be built using different techniques like rule-based systems, machine learning, or deep learning. In this article, I will focus on the …

Data annotation for text classification is time-consuming and expensive. In the case of smaller training datasets, pre-trained ChatGPT models might achieve higher classification accuracy on test sets than training classifiers from scratch or fine-tuning existing models. Additionally, ChatGPT can aid in annotating data for fine-tuning text classification models. In this …

I recently worked on a research project where I had to find the inter-annotator agreement for tweets annotated by three annotators. Inter annotator agreement refers to the degree of agreement between multiple annotators. The quality of annotated (also called labeled) data is crucial to developing a robust statistical model. Therefore, …

Hello everyone, Hope you are doing , I am too much confuse to buy a gaming laptop for my younger brother, Someone suggest a website like https://pcmag.com, https://cartvela.com, and Techradar but there are too much content, I can't make a decision.

## Intro ## Receiver Operating Characteristic (ROC) plots are useful for visualizing a predictive model’s effectiveness. This tutorial explains how to code ROC plots in Python from scratch. ## Data Preparation & Motivation ## We’re going to use the breast cancer dataset from sklearn’s sample datasets. It is an accessible, …

[B]hello,[/B] [B]i need help regarding final year project.i am computer science student.allready recruited to T C S.can u please guide me regarding this.:idea: i need some idea on what i should start.i want my final year project to be best:D .[/B]

On April 14, 2025, OpenAI released [GPT-4.1](https://openai.com/index/gpt-4-1/) — a model touted as the new state-of-the-art, outperforming GPT-4o on all major benchmarks. As always, I like to evaluate new LLMs on simple tasks like text classification and summarization to see how they compare with current leading models. In this article, I …

This tutorial demonstrates how to build an AI agent that queries SQLite databases using natural language. You will see how to leverage the [LangGraph framework](https://www.langchain.com/langgraph) and the [OpenAI GPT-4o](https://openai.com/index/gpt-4/) model to retrieve natural language answers from an SQLite database, given a natural language query. So, let's begin without ado. ## …

In my previous article, I explained how to fine-tune [OpenAI GPT-4o model for natural language processing tasks](https://www.daniweb.com/programming/computer-science/tutorials/542333/how-to-fine-tune-the-openai-gpt-4o-model-the-wait-is-finally-over). In OpenAI DevDay, held on October 1, 2024, OpenAI announced that users can now fine-tune OpenAI vision and multimodal models such as GPT-4o and GPT-4o mini. The best part is that fine-tuning vision …

In a previous article, I explained [how to extract tabular data from PDF image documents using Multimodal Google Gemini Pro](https://www.daniweb.com/programming/computer-science/tutorials/541449/pdf-image-table-extractor-web-app-with-google-gemini-pro-and-streamlit#post2296083). However, there are a couple of disadvantages with Google Gemini Pro. First, Google Gemini Pro is not free, and second, it needs complex prompt engineering to retrieve table, columns, and …

On November 20, 2024, OpenAI updated its GPT-4o model, claiming it is more creative and accurate on several benchmarks. In this article, I compare the GPT-4o November update with the previous version (August update) for text summarization and classification tasks. By the end of this article, you will see whether …

In my previous article, I presented a [comparison of GPT-4o and Claude 3.5 Sonnet for multi-label text classification](https://www.daniweb.com/programming/computer-science/tutorials/542629/openai-gpt-4o-vs-claude-3-5-sonnet-for-multi-label-text-classification). The accuracies achieved by both models were relatively low. Fine-tuning is one solution to overcome the low performance of large-language models. With fine-tuning, you can incorporate custom domain knowledge into an LLM's …

In one of my previous articles, you saw a [comparison of GPT-4o vs. Claude 3.5 sonnet for zero-shot text classification](https://www.daniweb.com/programming/computer-science/tutorials/542132/comparing-gpt-4o-vs-claude-3-5-sonnet-for-zero-shot-text-classification). In that article; we performed multi-class text classification where input tweets belonged to one of the three categories. In this article, we will go a step further and perform zero-shot …

This article explains how to create a retrieval augmented generation (RAG) chatbot in LangChain using open-source models from [Hugging Face serverless inference API](https://huggingface.co/docs/api-inference/en/index). You will see how to call large language models (LLMs) and embedding models from Hugging Face serverless inference API using LangChain. You will also see how to …

Open-source LLMS, owing to their comparable performance with advanced proprietary LLMs, have been gaining immense popularity lately. Open-source LLMs are free to use, and you can easily modify their source code or fine-tune them on your systems. [Alibaba's Qwen](https://www.alibabacloud.com/en/solutions/generative-ai/qwen?_p_lc=1) and [Meta's Llama](https://ai.meta.com/blog/meta-llama-3-1/) series of models are two major players in …

The AI wave has introduced a myriad of exciting applications. While text generation and natural language processing are leading the AI revolution, image, and vision-based technologies are quickly catching up. The intersection of text and vision applications has seen a rapid surge recently. In this article, you'll learn how to …

Large language models (LLMS) are trained to predict the next token (set of characters) following an input sequence of tokens. This makes LLMs suitable for unstructured textual responses. However, we often need to extract structured information from unstructured text. With the Python [LangChain](https://www.langchain.com/) module, you can extract structured information in …

On August 20, 2024, [OpenAI enabled GPT-4o fine-tuning](https://openai.com/index/gpt-4o-fine-tuning/) in the OpenAI playground and the OpenAI API. The much-awaited feature is free for fine-tuning 1 million daily tokens until September 23, 2024. In this article, I will show you how to fine-tune the OpenAI GPT-4o model for text classification and summarization …

In a previous article, I compared [GPT-4o mini vs. GPT-4o and GPT-3.5 Turbo for zero-shot text summarization](https://www.daniweb.com/programming/computer-science/tutorials/542208/gpt-4o-mini-vs-gpt-4o-vs-gpt-3-5-turbo-for-text-summarization). The results showed that the GPT-4o mini achieves almost similar performance for zero-shot text classification at a much-reduced price compared to the other models. I will compare Meta Llama 3.1 70b with OpenAI …

In my article on [Image Analysis Using OpenAI GPT-4o Model](https://www.daniweb.com/programming/computer-science/tutorials/542030/image-analysis-using-openai-gpt-4o-model), I explained how GPT-4o model allows you to analyze images and answer questions related images precisely. In this article, I will show you how to analyze images with the [Anthropic Claude 3.5 Sonnet](https://www.anthropic.com/news/claude-3-5-sonnet) model, which has shown state-of-the-art performance for …