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ArtificialIntelligence (AI), and particularly LargeLanguageModels (LLMs), have significantly transformed the search engine as we’ve known it. With GenerativeAI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
On a different project, we’d just used a LargeLanguageModel (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.
Pair these considerations with internal and external pressures to rapidly adopt generativeAI and scale it, and leveraging AI is easier said than done. To provide insight into those concerns, we spoke with a group of experts about AI’s challenges and opportunities.
What if the principles that transformed software development over the last decade could be the key to successfully implementing AI in your organization? Today, he’s applying these same integration and automation principles to the challenges of implementing generativeAI in enterprise environments.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
LargeLanguageModels (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
ArtificialIntelligence (AI) often seems like an overnight success story, but its roots stretch back more than 80 years. The journey from the inception of neural networks to the sophistication of ChatGPT is a fascinating one, marked by significant milestones, technological advancements, and cultural shifts.
Learn More: The Role of Chatbots in the Intranet. Increasingly intelligent applications. We expect to see an increasing number of organizations begin leveraging artificialintelligence in most of their business applications, in full force, to improve user experience or streamline existing business processes.
Join Dr. Mik Kersten, CTO at Planview, and Scott Densmore, VP of Engineering at GitHub, in dreaming about this realistic vision for the future in this Mik + One podcast episode. And we’ve taken advantage of this new GenerativeAI to actually make that happen.“ Be sure to subscribe to learn when new episodes are released.
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