AI Conversational AI LLM 
Unite.AI
DECEMBER 19, 2024
AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Thats where LLMs come in.
Analytics Vidhya
JULY 28, 2023
Introduction Language Models take center stage in the fascinating world of Conversational AI, where technology and humans engage in natural conversations. Recently, a remarkable breakthrough called Large Language Models (LLMs) has captured everyone’s attention.
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AI News
FEBRUARY 15, 2024
Researchers at Amazon have trained a new large language model (LLM) for text-to-speech that they claim exhibits “emergent” abilities. While an experimental process, the creation of BASE TTS demonstrates these models can reach new versatility thresholds as they scale—an encouraging sign for conversational AI.
Analytics Vidhya
SEPTEMBER 21, 2023
Introduction Generative AI, a captivating field that promises to revolutionize the way we interact with technology and generate content, has taken the world by storm. We’ll also […] The post Training Your Own LLM Without Coding appeared first on Analytics Vidhya.
Unite.AI
SEPTEMBER 19, 2024
The race to dominate the enterprise AI space is accelerating with some major news recently. This incredible growth shows the increasing reliance on AI tools in enterprise settings for tasks such as customer support, content generation, and business insights. Let's dive into the top options and their impact on enterprise AI.
Marktechpost
FEBRUARY 16, 2025
Semiconductor layout design is a prime example, where AI tools must interpret geometric constraints and ensure precise component placement. Researchers are developing advanced AI architectures to enhance LLMs’ ability to process and apply domain-specific knowledge effectively. Researchers at IBM T.J.
AWS Machine Learning Blog
FEBRUARY 21, 2025
Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.
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