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Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison

Analytics Vidhya

It is said to be trained to have more natural and open-ended conversations […] The post Chatgpt-4 v/s Google Bard: A Head-to-Head Comparison appeared first on Analytics Vidhya. Google recently made headlines with the release of Bard, its language model for dialogue applications (LaMDA).

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How to Improve the Reliability of ChatGPT: Techniques and Tips

Analytics Vidhya

In this article, we will discuss the methods to increase the reliability of ChatGPT […] The post How to Improve the Reliability of ChatGPT: Techniques and Tips appeared first on Analytics Vidhya. However, they often fail when tasked with complex operations or logical reasoning.

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How Can You Showcase AI Skills To Supercharge Your Resume?

Flipboard

The introduction of OpenAI’s ChatGPT and other large language models (LLMs) has created an opportunity for individuals willing to learn how to use this technology to their advantage. First, you have to feed the LLMs an appropriate prompt. In a lot of ways, it’s simply like holding the AI’s hand. Where you lead it matters.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial.

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Conversational AI with LangChain and Comet

Heartbeat

AI Chatbots offer 24/7 availability support, minimize errors, save costs, boost sales, and engage customers effectively. Businesses are drawn to chatbots not only for the aforementioned reasons but also due to their user-friendly creation process. This evolution paved the way for the development of conversational AI.

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Llama 2: A Deep Dive into the Open-Source Challenger to ChatGPT

Unite.AI

This level of granularity in fine-tuning is often reserved for closed “product” LLMs, such as ChatGPT and BARD, which are not generally available for public scrutiny or customization. This mechanism informed the Reward Models, which are then used to fine-tune the conversational AI model.

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