The rise of large language models (LLMs) has transformed the landscape of artificial intelligence, enabling advanced text generation, and even the ability to write code. At the heart of these systems are foundation models built on transformer models and fine-tuned with vast amounts of data. Ollama offers a unique approach...
Generative AI models like GPT-4 are transforming software development by enhancing productivity and decision-making.
This guide on prompt engineering helps developers and architects harness the power of large language models.
Learn essential techniques for crafting effective prompts, integrating AI into workflows, and improving performance with embeddings. Whether you're using ChatGPT,...
Thanks to artificial intelligence, there are no limits to your creativity. Programs like Vecentor or Mann-E, developed by Muhammadreza Haghiri, make it easy to create images, vector graphics, and illustrations using AI. In this article, explore how machine learning and generative models like GPT-4 are transforming art, from AI-generated paintings...
The intersection of philosophy and artificial intelligence may seem obvious, but there are many different levels to be considered. We talked to Katleen Gabriels, Assistant Professor in Ethics and Philosophy of Technology and author of the 2020 book “Conscientious AI: Machines Learning Morals”. We asked her about the intersection of...
In today’s rapidly evolving data landscape, leveraging a Data Lakehouse architecture is becoming a key strategy for enhancing machine learning workflows. Databricks, a leader in unified data analytics, provides a robust platform that integrates seamlessly with the data lakehouse model to enable data engineers, data scientists, and Machine learning (ml)...
Embedding vectors (or embeddings) play a central role in the challenges of processing and interpretation of unstructured data such as text, images, or audio files. Embeddings take unstructured data and convert it to structured, no matter how complex, so they can be easily processed by software. OpenAI offers such embeddings,...
Discover the power of address matching in real estate data management with this comprehensive guide. Learn how to leverage natural language processing (NLP) techniques using Python, including open-source libraries like SpaCy and fuzzywuzzy, to parse, clean, and match addresses. From breaking down data silos to geocoding and point-in-polygon searches, this...
We leveraged OpenAI's API and PHP to develop a proof-of-concept chatbot that seamlessly integrates with Pinecone, a vector database, to enhance our homepage's search functionality and empower our customers to find answers more effectively. In this article, we’ll explain our steps so far to accomplish this.
This article aims to delve into the capabilities and limitations of OpenAI’s models, examine the functionalities of agents like Baby AGI, and discuss potential future advancements in this rapidly evolving field.
As AI advances, calls for regulation are increasing. But viable regulatory policies will require a broad public debate. We spoke with Mhairi Aitken, Ethics Fellow at the British Alan Turing Institute, about the current discussions on risks, AI regulation, and visions of shiny robots with glowing brains.