Remove AI Tools Remove ChatGPT Remove Conversational AI Remove Prompt Engineering
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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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Prompt Engineering Hacks for ChatGPT & LLM Applications

Topbots

Harnessing the full potential of AI requires mastering prompt engineering. This article provides essential strategies for writing effective prompts relevant to your specific users. Still, the majority of these tips are equally applicable to end users interacting with ChatGPT via OpenAI’s user interface.

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AI and coding: How Seattle tech companies are using generative AI for programming

Flipboard

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. based developers are using AI coding tools both in and outside of work, and 70% say the tools will give them an advantage at work.

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Large Language Models for Product Managers: 5 Things to Know

AssemblyAI

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language.

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The Impact of Custom GPTs: An Overview of Their Key Applications Across Categories

Topbots

ChatGPT has fundamentally changed the way we can tackle a broad array of tasks, introducing unprecedented levels of automation and intelligence into our workflows. However, leveraging this technology effectively often hinges on the user’s ability to craft precise and insightful prompts – a skill not everyone possesses.

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Building AI Products With A Holistic Mental Model

Topbots

Rather, they had the honorable status of bleeding-edge experiments that gave internal stakeholders the impression of riding the AI wave. Now, with the ubiquitous proliferation of AI since the publication of ChatGPT in 2022, companies can no longer afford to use AI as a “lighthouse” feature to show off their technological acumen.

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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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