by | Jan 21, 2024 | Uncategorized
Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language. Addressing...
by | Jan 21, 2024 | Uncategorized
Large Language Models (LLMs) have emerged as a transformative force in artificial intelligence, offering remarkable capabilities in processing and generating language-based responses. LLMs are being used in many applications, from automated customer service to...
by | Jan 21, 2024 | Uncategorized
Stable AI has recently released a new state-of-the-art model, Stable-Code-3B, designed for code completion in various programming languages with multiple additional capabilities. The model is a follow-up on the Stable Code Alpha 3B. It is trained on 1.3 trillion...
by | Jan 21, 2024 | Uncategorized
The Natural Language Generation (NLG) field stands at the intersection of linguistics and artificial intelligence. It focuses on the creation of human-like text by machines. Recent advancements in Large Language Models (LLMs) have revolutionized NLG, significantly...
by | Jan 21, 2024 | Uncategorized
Mixture-of-Experts (MoE) is an architecture based on the “divide and conquer” principle to solve complex tasks. Multiple individual machine learning (ML) models (called experts) work individually based on their specializations to provide the most optimal results. To...
by | Jan 20, 2024 | Uncategorized
The emergence of large language models (LLMs) like GPT, Claude, Gemini, LLaMA, Mistral, etc., has greatly accelerated recent advances in natural language processing (NLP). Instruction tweaking is a well-known approach to training LLMs. This method allows LLMs to...
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