Akmal Chaudhri

Nov 19, 2024 | dev.to | Akmal Chaudhri

AbstractThis short article shows how to integrate OpenAI's Swarm with Ollama without requiring direct OpenAI access, enabling efficient, scalable AI workflows using alternative large language models. The notebook file used in this article is available on GitHub. IntroductionIn a previous article, we used OpenAI's Swarm, but required an OpenAI API Key and use of an OpenAI large language model. However, Swarm can be easily configured to use Ollama and alternative large language models.

Nov 6, 2024 | dzone.com | Akmal Chaudhri

In this article, we'll see how to use SingleStore and WebAssembly to perform sentiment analysis of Stack Overflow comments. We'll use some existing WebAssembly code that has already been prepared and hosted in a cloud environment. The notebook file used in this article is available on GitHub. IntroductionIn this article, we'll take an existing SingleStore Labs project and demonstrate the ease with which it can be deployed and run on SingleStore Cloud.

Nov 1, 2024 | dev.to | Akmal Chaudhri

AbstractIn this short article, we'll see how to use SingleStore and WebAssembly to perform sentiment analysis of Stack Overflow comments. We'll use some existing WebAssembly code that has already been prepared and hosted in a cloud environment. The notebook file used in this article is available on GitHub. IntroductionIn this short article, we'll take an existing SingleStore Labs project and demonstrate the ease with which it can be deployed and run on SingleStore Cloud.

Oct 27, 2024 | dev.to | Akmal Chaudhri

AbstractIn this article, we'll use OpenAI's CLIP model (Contrastive Language-Image Pre-training) to analyse the relationship between text and visual data by encoding and comparing their feature representations. Cosine similarity is calculated between image and text embeddings, and several dimensionality reduction techniques are used to create 2D visualisations of these relationships. The notebook file used in this article is available on GitHub.

Oct 27, 2024 | dev.to | Akmal Chaudhri

AbstractIn this short article, we'll use the ElPiGraph library to construct a principal graph of the Iris dataset. We'll then visualise the graph using Principal Component Analysis (PCA), providing insights into the relationships between the features of different flower species. The notebook file used in this article is available on GitHub. IntroductionIn scientific literature and various websites, there are references to Metro Maps.