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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Data ReaLLM</title><link>https://www.spreaker.com/podcast/data-reallm--6348621</link><description><![CDATA[Welcome to Data ReaLLM, your go-to source for deep dives into the world of data science and artificial intelligence! Whether you're a data enthusiast, a budding machine learning engineer, or a seasoned AI expert, this podcast has something for everyone. Join us as we explore the latest breakthroughs, practical applications, and emerging trends in the field—particularly when it comes to large language models like GPT, ChatGPT, and more.Each episode unpacks the intricacies of these powerful models: from how they’re trained, to the innovative ways they’re being used in natural language processing, and the challenges of prompt engineering. We’ll discuss how LLMs are transforming industries, streamlining workflows, and even reshaping how we think about human-machine interaction. Plus, expect insights on data handling, model optimization, AI ethics, and everything in between.Tune in to Data ReaLLM for thought-provoking conversations, expert interviews, and actionable tips that will keep you at the forefront of the data science revolution. Ready to unlock the potential of AI? Subscribe now and join the conversation!]]></description><atom:link href="https://www.spreaker.com/show/6348621/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Technology</category><copyright>Copyright Data ReaLLM</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2cc39017814179a07f81286c26307a9e.jpg</url><title>Data ReaLLM</title><link>https://www.spreaker.com/podcast/data-reallm--6348621</link></image><lastBuildDate>Mon, 28 Oct 2024 16:26:20 +0000</lastBuildDate><itunes:author>Data ReaLLM</itunes:author><itunes:owner><itunes:name>Data ReaLLM</itunes:name><itunes:email>s.shakir9589@gmail.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2cc39017814179a07f81286c26307a9e.jpg"/><itunes:subtitle>Welcome to Data ReaLLM, your go-to source for deep dives into the world of data science and artificial intelligence! Whether you're a data enthusiast, a budding machine learning engineer, or a seasoned AI expert, this podcast has something for...</itunes:subtitle><itunes:summary><![CDATA[Welcome to Data ReaLLM, your go-to source for deep dives into the world of data science and artificial intelligence! Whether you're a data enthusiast, a budding machine learning engineer, or a seasoned AI expert, this podcast has something for everyone. Join us as we explore the latest breakthroughs, practical applications, and emerging trends in the field—particularly when it comes to large language models like GPT, ChatGPT, and more.Each episode unpacks the intricacies of these powerful models: from how they’re trained, to the innovative ways they’re being used in natural language processing, and the challenges of prompt engineering. We’ll discuss how LLMs are transforming industries, streamlining workflows, and even reshaping how we think about human-machine interaction. Plus, expect insights on data handling, model optimization, AI ethics, and everything in between.Tune in to Data ReaLLM for thought-provoking conversations, expert interviews, and actionable tips that will keep you at the forefront of the data science revolution. Ready to unlock the potential of AI? Subscribe now and join the conversation!]]></itunes:summary><itunes:category text="Technology"/><itunes:explicit>yes</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Unleashing the Power of Prompt Engineering</title><link>https://www.spreaker.com/episode/unleashing-the-power-of-prompt-engineering--62361934</link><description><![CDATA[The podcast episode focuses on prompt engineering, a crucial skill for effectively interacting with AI models like ChatGPT. The host explains three different approaches to prompt engineering: zero-shot inference, where the model receives no examples; one-shot inference, where the model receives a single example; and few-shot inference, where the model receives multiple examples. Each approach has its strengths and weaknesses, making them suitable for different tasks and levels of complexity. Understanding these approaches allows users to maximize the potential of AI models by crafting prompts that elicit the most accurate and relevant responses.<br />for full blog post on same topic visit: https://medium.com/@S.Shakir/unleashing-the-power-of-prompt-engineering-zero-shot-one-shot-and-few-shot-inference-29b88ba16ee0]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62361934</guid><pubDate>Mon, 14 Oct 2024 17:08:04 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/62361934/unleashing_the_power_of_prompt_engineering.mp3" length="8846671" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eeb8b48-bb25-481e-a1d9-e391d908c64a/4eeb8b48-bb25-481e-a1d9-e391d908c64a.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eeb8b48-bb25-481e-a1d9-e391d908c64a/4eeb8b48-bb25-481e-a1d9-e391d908c64a.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/4eeb8b48-bb25-481e-a1d9-e391d908c64a/4eeb8b48-bb25-481e-a1d9-e391d908c64a.vtt" type="text/vtt" language="en"/><itunes:author>Data ReaLLM</itunes:author><itunes:subtitle>The podcast episode focuses on prompt engineering, a crucial skill for effectively interacting with AI models like ChatGPT. The host explains three different approaches to prompt engineering: zero-shot inference, where the model receives no examples;...</itunes:subtitle><itunes:summary><![CDATA[The podcast episode focuses on prompt engineering, a crucial skill for effectively interacting with AI models like ChatGPT. The host explains three different approaches to prompt engineering: zero-shot inference, where the model receives no examples; one-shot inference, where the model receives a single example; and few-shot inference, where the model receives multiple examples. Each approach has its strengths and weaknesses, making them suitable for different tasks and levels of complexity. Understanding these approaches allows users to maximize the potential of AI models by crafting prompts that elicit the most accurate and relevant responses.<br />for full blog post on same topic visit: https://medium.com/@S.Shakir/unleashing-the-power-of-prompt-engineering-zero-shot-one-shot-and-few-shot-inference-29b88ba16ee0]]></itunes:summary><itunes:duration>553</itunes:duration><itunes:keywords>ai,chatgpt,deeplearning,fewshotinference,largelanguagemodel,llm,machinelearning,oneshotinference,promptengineering,zeroshotinference</itunes:keywords><itunes:explicit>yes</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4b2d072de8c7db13a392b60935b75ed4.jpg"/><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
