19,161 Topics
I'm just coding something for fun right now and I'm stuck on looping. I'm using a while loop that only runs if my variable is 0. Right now, I set the variable to 0 but the code was after the loop. How do I fix this? import time import sys …
The project is: -------------------------------- Write a program that computes and prints the average of the numbers in a text file. You should make use of two higher-order functions (i.e., map and reduce, or something else) to simplify the design. Create a text file and name as numbers.txt and add the …
Hi everyone. I am just learning Python on class so I am really at the basic. I need to write a python program that will flip a coin 100 times and then tell how many times tails and heads were flipped. This is what I have so far but I …
Like Ron McLeod, [who we met yesterday](https://www.daniweb.com/community-center/say-hello/threads/543368/hi-everyone-i-m-ron-mcleod), I'm a moderator and administrator over at the CodeRanch.com forums. I'm a Software Engineer, currently working as a Software Architect for a medical technology company in Belfast, Northern Ireland. We use Java, JavaScript, TypeScript, Python, we have used many of the related tooling …
Large language models are trained on a fixed corpus, and their knowledge is often limited by the documents they are trained on. Techniques like retrieval augmented generation, continuous pre-training, and fine-tuning enhance an LLM's default knowledge. However, these techniques can still not enable an LLM to answer queries that require …
Hi everyone, I'm Hichem. A web developer, Python enthusiast and problem solver. I'm happy to be a member of the DaniWeb community.
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 a [previous article](https://www.daniweb.com/programming/computer-science/tutorials/543028/text-classification-and-summarization-with-deepseek-r1-distill-llama-70b), I presented a comparison of [DeepSeek-R1-Distill-Llama-70b](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) with the [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) for text classification and summarization. Both these models are distilled versions of the original DeepSeek R1 model. Recently, I wanted to try the original version of the DeepSeek R1 model using the DeepSeek API. However, I was …
In the [last article](https://www.daniweb.com/programming/computer-science/tutorials/542973/benchmarking-deepseek-r1-for-text-classification-and-summarization#post2300447), I explained how you can use the [DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) model for text classification and summarization problems. In this article, we will use the [DeepSeek-R1-Distill-Llama-70b](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) for the same tasks. Following results from the [DeepSeek-AI's official paper](https://arxiv.org/pdf/2501.12948) show that `DeepSeek-R1-Distill-Llama-70b` outperform the other distilled models on 4 out of …
I need to develop an application where I give an llm a piece of code, like maybe a function, and then the llm finds the closest match that does the same thing. It would look in one or more source files. The thing found may be worded differently. If the …
Environment is Windows 11 and Visual Studio 2019 using Python. I am a Python novice. The goal is a project with multiple dialogs. Not a web project, just many dialogs. From VS some options are Django, Flask, Bottle, Jade, and more. Searches for each of those provide simplistic descriptions without …
When running the following command I get an error > Quoted Text Here python3 -m pip install -r requirements.txt Defaulting to user installation because normal site-packages is not writeable Collecting faster-whisper==1.0.2 (from -r requirements.txt (line 1)) Downloading faster_whisper-1.0.2-py3-none-any.whl.metadata (15 kB) Collecting groq==0.6.0 (from -r requirements.txt (line 2)) Downloading groq-0.6.0-py3-none-any.whl.metadata (13 …
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 …
DeepSeek-R1 is a groundbreaking family of reinforcement learning (RL)-driven AI models developed by the Chinese AI firm [DeepSeek](https://www.deepseek.com/). It is designed to rival industry leaders like OpenAI and Google in complex decision-making and optimization problems. In this article, we will benchmark the DeepSeek R1 model for text classification and summarization …
Hi I want to make use of GitHub-programs, and so I downloaded a bunch of Python-tools. When I run this command in "Python 3.12", which looks like CMD to me, I get a syntax error. "To create a virtual environment, Python supplies a built in venv module which provides the …
Hi there, I'm algieba, a new poster. I'll share and record some programming tricks while my coding life. Topics will reated to Python, C++, CI/CD, Machine Learning, Deep Learning.
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 …
A script that was working fine on 100 records per batch choked when I fed it 1,000 records. It gave: mysql.connector.errors.OperationalError: 1040 (08004): Too many connections So I went ahead and made sure to connect.close() everywhere that I opened a connection, and the script made it much further but eventually …
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 …
Hello I want to learn python about sequentialfile And definition just a hobby in my spare time Thank u all
**Turning ideas into executable code has never been easier. This is the story of how I created a small program that turns your photos into pixel art in less than half an hour – with a little help from my AI assistant.**  The program is called **PixelPotion**, and you …
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 …
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. …
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 …
How are you all, I am a python enthusiast and a very avid learner. Looking forward to learn from you all
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 …
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 …
Hello Gang! I'm grateful once again for the advice to use MySQL over Postgres. It's been a pretty smooth experience so far. Unfortunately I had to migrate to a different host and have been getting an undefined variable error. Mysql is Running. I used the package manager to get python-mysql.connector …
Given below is my telephone directory program.i made two lists one for name and the other for number.I merged it into a dictionary.performing basic functions..The problem is howto update the dictionary every time and how to save this program in a new directory,so as to call it any time and …
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 …
I have posted this question elsewhere and gotten zero helpful responses. Specifically on an Apple, with Python 3.9.10, I am using the socket sendall method to send a data buffer on a network connection that has successfully opened to a server. The data that I am sending does not reach …
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 …
## 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 …
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 …
What are some of the key features that make Python a popular choice for programming
Retrieval augmented generation (RAG) allows large language models (LLMs) to answer queries related to the data the models have not seen during training. In my previous article, I explained [how to develop RAG systems using the Claude 3.5 Sonnet model](https://www.daniweb.com/programming/computer-science/tutorials/542136/retrieval-augmented-generation-with-claude-3-5-sonnet). However, RAG systems only answer queries about the data stored …
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 previous articles, I presented a [comparison of OpenAI GPT-4o mini model with GPT-4o and GPT-3.5 turbo models for zero-shot text classification](https://www.daniweb.com/programming/computer-science/tutorials/542182/gpt-4o-mini-a-cheaper-and-faster-alternative-to-gpt-4o). The results showed that GPT-4o mini, while significantly cheaper than its counterparts, achieves comparable performance. On 8 August 2024, OpenAI enabled GPT-4o mini fine-tuning for developers across …
Hey guys! I started a keylogger project two months back, and I've hit a slump relating to what features I can add to make it more complex and less basic. So I just wanted to hear any suggestions anyone might have, so I find some inspiration. **Note: This project is …
Learning to code is one such skill that sets your kid apart from the crowd. In the same way, it also helps your kid in landing some amazing opportunities in his/her career. Some Points are: 1) Take baby steps 2) Block-based for beginners 3) Python programming course for kids 4) …
# Extract Schema.org Data Script # Maybe this is helpful for somebody... ## Description ## This script extracts Schema.org data from a given URL and saves it to a file. ## Usage ## 1. Run the Script: Execute the script in a Python environment. 2. Input URL: Enter the URL …
# Extract and Count Reviews Script # This script was basically the concept for a similar WP Plugin, which automatically counts the amount of all single product ratings in each category and writes the correct amount of total reviews in a category on the category pages "aggregate rating" Schema.org Markup. …
# Extract Schema.org Data Script # Maybe this is helpful for somebody... ## Description ## This script extracts Schema.org data from a given URL and saves it to a file. ## Usage ## 1. Run the Script: Execute the script in a Python environment. 2. Input URL: Enter the URL …
**A geeky multi-tool capable of hacking into Wi-Fi networks and [opening Tesla car charging ports](https://www.youtube.com/shorts/ZZXkQm4kgGM) has been making headlines recently. I've familiarized myself with Flipper Zero and performed basic penetration testing on my own network and system. In this post, I share the results.**  ## What is Flipper Zero? …
Recently made a decision for an app I'm working on to accumulate data in batches AND THEN to insert it into the database with one statement rather than adding 1,000 records through one thousand separate inserts. Is this done better through file or memory? If I write the segments of …
Hey Gang! I'm hitting a point with my (python/mysql/linux) app for processing large amounts of network records where I need to make a design decision. I definitely want my app to have high performance. Because optimization as a skill set is so rare there is no reason not to employ …
In my previous [article on GPT-4o mini](https://www.daniweb.com/programming/computer-science/tutorials/542182/gpt-4o-mini-a-cheaper-and-faster-alternative-to-gpt-4o), I compared the performance of GPT-4o mini against GPT-3.5 Turbo and GPT-4o for zero-shot text classification. We saw that GPT-4o mini, being 36% times cheaper, achieves only 2% less accuracy than GPT-4o. Furthermore, while being 1/3 of the price, the GPT-4o mini significantly …
Hi.. I've to remove a very long path. I've written the below to try that but its giving WindowsError: [Error 206] (I've pasted it below). I've prepended "\\?\" to the actual path but still I'm getting the exception. Please let me know the solution... ++++ import os import shutil os.rmdir(os.path.realpath(r"\\?\D:\Kamesh\test-1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950\test-1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950\kkkkkkkkkkkkkkkkkkkkkkkkk\kllkppppppppppppp\long_path_test")) …
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