15,180 Topics
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| | Hello I want to learn python about sequentialfile And definition just a hobby in my spare time Thank u all  |
 | 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 … |
 | **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 … |
 | 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 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 … |
| | This week I'm working on the data warehousing capabilities of my application. Now most people here who have built more than a couple of applications can tell you how useful it is to include a datestamp on records or requests as they come in. The advantages are numerous. So much …  |
| | 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 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 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 … |
| | 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 … |
| | Good Evening Folks, I got some basic questions on Tablets. Which Tablet do you recommend I buy to use for php programming ? I never bought a Tablet before. Now taken an interrst to buy one but need to buy one suitable for programming. I Always program using pc or … |
| | 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 … |
 | # 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 … |
| | 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")) …  |
| | Hey, im having a problem retrieving information about some files due to the fact either the file name or the extension is too long. For example i want to retrieve the size of a file only i call [CODE=Python]os.path.getsize("somelongfilename.txt")[/CODE] Note that it may not be a .txt extension, but it …  |
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