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Editors Pick

Enhancing Language Models and Search Engines: A closer look at Search4LLM and LLM4Search

The exponential growth of the internet has increased the importance of search engines in navigating online data. However, as users demand accurate, relevant and timely responses, traditional search technologies face various challenges. To counter these, advancements in natural language processing (NLP) and information retrieval (IR) technologies are being made. Large Language Models (LLMs) that form…

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The Transformation of Customer Service by ChatGPT in 2024

In 2024, customer service has been radically transformed by advanced Artificial Intelligence (AI), specifically OpenAI's ChatGPT, which is revolutionizing how businesses interact with customers. Equipped with NLP (Natural Language Processing) algorithms to comprehend and respond to natural language queries with precision, ChatGPT provides more human-like interactions resulting in more meaningful conversations, which ultimately translating into…

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Introducing SpiceAI: A Mobile Runtime that Provides Programmers with a Singular SQL Interface, Speeding Up and Simplifying the Data Fetching Process from Any Database, Data Warehouse or Data Lake.

The world of cloud-hosted applications is one that keeps evolving at a fast pace, and the need for speed and efficiency too is ever-increasing. Applications in this sphere depend on various data sources, including knowledge bases stored in S3, structured data available in SQL databases and embeddings stored in vector stores. Despite the benefits these…

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Improving Language Models using RAG: Guidelines and Performance Measures

Large language models (LLMs) can greatly benefit from better integration of up-to-date information and reducing biases, which are often found in Retrieval-Augmented Generation (RAG) techniques. However, these models face challenges due to their complexity and longer response times. Therefore, optimizing the performance of RAG is key to their effectiveness in real-time applications where accuracy and…

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Salesforce AI Research has launched SummHay, a solid AI benchmark for assessing long-context summarization within Language model systems and Retriever Augmented Generation systems.

Natural language processing (NLP), a field within artificial intelligence (AI), aims at aiding machines to decipher and establish human language. It includes tasks such as translation, sentiment analysis, and text summarization. The progress in this field has led to the creation of 'Large Language Models’ (LLMs), capable of handling massive quantities of text. This progress…

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The AI Research division of Salesforce launches SummHay: A sturdy AI benchmark for assessing the summarization of extensive contexts in Language Model Systems and Retrieval-Augmented Generation Systems.

Natural language processing (NLP), a subfield of Artificial Intelligence (AI), is designed to allow machines to understand and mirror human language. It oversees a variety of tasks like language translation, sentiment analysis, and text summarization. The advent of large language models (LLMs), capable of processing great amounts of data, has significantly advanced these tasks, opening…

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Arcee AI unveils the revolutionary Arcee Agent: A state-of-the-art language model with 7 billion parameters. This model is uniquely designed for performing function calls and utilizing tools.

Arcee AI, a leading artificial intelligence (AI) company, has launched Arcee Agent, a novel 7 billion parameter language model designed for function calling and tool usage. The model is smaller in size compared to its contemporaries, a difference which does not compromise performance but significantly cuts the computation needs. Developed using the high-performing Qwen2-7B architecture…

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Researchers at DeepSeek AI have suggested implementing Expert-Specialized Fine-Tuning (ESFT) as a way to cut down memory usage by as much as 90% and reduce processing time by up to 30%.

Natural language processing has been making significant headway recently, with a special focus on fine-tuning large language models (LLMs) for specified tasks. These models typically comprise billions of parameters, hence customization can be a challenge. The goal is to devise more efficient methods that customize these models to particular downstream tasks without overwhelming computational costs.…

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Arcee AI proudly presents Arcee Agent: An innovative 7B parameter language model purposefully crafted for invoking functions and utilizing tools.

Arcee AI has launched the Arcee Agent, which is a high-tech 7 billion parameter language model developed for sophisticated AI applications. It maintains an edge over larger models through its remarkable performance and efficient use of computational resources—essential traits of any ideal AI solution for businesses and developers. The Arcee Agent is built on the…

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Researchers from DeepSeek AI have introduced ESFT, also known as Expert-Specialized Fine-Tuning, which is projected to decrease memory usage by up to 90% and save time by up to 30%.

The rapid evolution of natural language processing (NLP) is currently focused on refining large language models (LLMs) for specific tasks, which often contain billions of parameters posing a significant challenge for customization. The primary goal is to devise better methods to fine-tune these models to particular downstream tasks with minimal computational costs, posing a need…

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Protecting HealthCare AI: Uncovering and Handling the Risks of LLM Manipulation

AI models like ChatGPT and GPT-4 have made significant strides in different sectors, including healthcare. Despite their success, these Large Language Models (LLMs) are vulnerable to malicious manipulation, leading to harmful outcomes, especially in contexts with high stakes like healthcare. Past research has evaluated the susceptibility of LLMs in general sectors; however, manipulation on such models…

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Examining the Extensive Abilities and Ethical Framework of Anthropic’s Premier Language Model, Claude AI: A Detailed Review

Introduced by an AI-focused startup Anthropic, Claude AI is a high-performing large language model (LLM) boasting advanced capabilities and a unique approach to training known as "Constitutional AI." Co-founded by former OpenAI employees, Anthropic adheres to a rigorous ethical AI framework and is supported by industry heavyweights such as Google and Amazon. Claude AI, launched in…

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