This is my third article related to LLM and GPT-like apps. See the first one, “Why and How I Created my Own LLM from Scratch”,… Read More »Better LLMs with Shorter Embeddings: Part 3
AI Linguistics covers a number of related rubrics, including the AI behind the processing of speech, comprehension of written text (the next stage of optical character recognition), natural language processing, production of synthetic speech, chatbots and smart agents such as Siri or Alexa.
When people talk about Large Language Models, the most common topics are text summarization, text generation, and answering prompts with GPT. Yet, this is just… Read More »GenAI: Synthesizing DNA Sequences with LLM Techniques
In the panorama of Artificial Intelligence (AI), Natural Language Understanding (NLU) stands as a citadel of computational wizardry. No longer in its nascent stage, NLU… Read More »AI for Natural Language Understanding (NLU)
In today’s fast-paced world, technology is constantly pushing the boundaries of content translation. The question of whether to rely on AI or human translation services… Read More »Human and AI translations: How to skillfully combine them
As technology continues to improve, Artificial Intelligence (AI) has been increasingly used in many areas and voiceover is no exception. It’s a domain that I… Read More »Human Voice Over VS. AI – How Humans Outperform AI?
Generative AI is suddenly everywhere. Because of this, the future of AI looks very bright indeed. There are many opportunities for generative AI to impact life… Read More »Ten Productivity Hacks using ChaptGPT Generative AI Prompts
When it comes to writing, there are many different types of writers. Some write for pleasure, some write to inform, and some write to sell. But what happens when the work needs to be done, and there just isn’t enough time or freelance writers to go around?