{"podcast":{"title":"Chat GPT Podcast","slug":"chat-gpt-podcast-5983061","podcast_index_feed_id":5983061,"rss_url":"https://www.spreaker.com/show/5771043/episodes/feed","website_url":"https://www.spreaker.com/show/chat-gpt-podcast","image_url":"https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ea37f2e0c20dbc7202b4601fc15372de.jpg","author":"Sol Good Network","episode_count":984,"summary":"Dive into the fascinating world of artificial intelligence with the \"Chat GPT Podcast,\" a must-listen for anyone eager to understand the intricacies of language models and their transformative impact across various industries. Hosted by Chat GPT itself, this podcast offers an insightful exploration into the daily operations and capabilities of machine learning models, providing listeners with a unique behind-the-scenes perspective. From answering complex questions to crafting compelling narratives, you'll gain an understanding of how these models generate text and contribute to fields like natural language processing and creative writing. The \"Chat GPT Podcast\" doesn't just stop at the technical aspects; it also tackles the pressing ethical considerations that come with AI advancements, such as privacy concerns, bias, accountability, and transparency. Each episode is designed to inform and engage, offering thought-provoking discussions on the future potential of language models and their implications for industries worldwide. Whether you're an AI enthusiast or a curious newcomer, this podcast promises to enrich your understanding of the digital landscape and the role of artificial…","last_synced_at":"2026-06-16T20:20:07.410685+00:00","page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061"},"episode":{"title":"Why AI is Turning Websites Liquid","slug":"why-ai-is-turning-websites-liquid","published_at":"2026-04-28T09:25:02+00:00","page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061/why-ai-is-turning-websites-liquid","show_page_url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061","url":"https://www.spreaker.com/episode/why-ai-is-turning-websites-liquid--71575949","audio_url":"https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/71575949/why_ai_is_turning_websites_liquid.mp3","summary":"the International Journal on Science and Technology (IJSAT) explores the strategic selection between fine-tuning and prompt engineering when implementing Large Language Models (LLMs) in consumer products. Fine-tuning is characterized as a resource-intensive process that adapts a model to specialized domains and brand voices, resulting in superior accuracy for niche tasks. Conversely, prompt engineering is highlighted as a cost-effective and agile alternative that allows for rapid iteration without altering the underlying model's parameters. The source also emphasizes the emergence of hybrid strategies, such as Retrieval-Augmented Generation (RAG) and Parameter-Efficient Fine-Tuning (PEFT), to balance performance with operational costs. Ultimately, the text provides a framework for businesses to align these technical methodologies with their specific growth stages, budget constraints, and accuracy requirements. Case studies in sectors like e-commerce and content creation illustrate how these AI approaches function in practical, real-world applications.","meta_description":"the International Journal on Science and Technology (IJSAT) explores the strategic selection between fine-tuning and prompt engineering when implementing…","key_points":[],"chapters":[],"topics":[],"duration_seconds":1355,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/chat-gpt-podcast-5983061/episodes/why-ai-is-turning-websites-liquid/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/chat-gpt-podcast-5983061/why-ai-is-turning-websites-liquid.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}