New embedding models and API updates
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
Recent advancements in machine learning and artificial intelligence (ML) techniques are used in all fields. These advanced AI systems have been made possible due to advances in computing power, access to vast amounts of data, and improvements in machine learning techniques. LLMs, which require huge amounts of data, generate human-like language for many applications. A…
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With the growth of trending AI applications, Machine Learning ML models are being used for various purposes, leading to an increase in the advent of multimodal models. Multimodal models are very useful, and researchers are putting a lot of emphasis on these nowadays as they help mirror the complexity of human cognition by integrating diverse…
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Graph Transformers need help with scalability in graph sequence modeling due to high computational costs, and existing attention sparsification methods fail to adequately address data-dependent contexts. State space models (SSMs) like Mamba are effective and efficient in modeling long-range dependencies in sequential data, but adapting them to non-sequential graph data is challenging. Many sequence models…
Large Language Models (LLMs) have gathered a massive amount of attention and popularity among the Artificial Intelligence (AI) community in recent months. These models have demonstrated great capabilities in tasks including text summarization, question answering, code completion, content generation, etc. LLMs are frequently trained on inadequate web-scraped data. Most of the time, this data is…