Recruitment Tech Podcasts (EN)

Martijn Hemminga
Recruitment Tech Podcasts (EN) Podcast

Recruitment Tech Podcasts EN are English-language podcasts about recruitment technology. Stay informed via Recruitmenttech.com/podcasts.

  1. How AI can empower candidates to master their skills | AI in Recruitment Episode 15 w/ guest Laurens Waling (8vance)

    6 SEPT

    How AI can empower candidates to master their skills | AI in Recruitment Episode 15 w/ guest Laurens Waling (8vance)

    In the 15th episode of AI in Recruitment, hosts Jasper Spanjaart and Martijn Hemminga sat down with Laurens Waling, Chief Evangelist at 8vance, to discuss how technology is reshaping the way companies approach hiring. Waling's company, 8vance, specialises in using algorithms to match candidates with jobs. Watch or listen to the full episode.  Rethinking recruitment "We’re still not using AI to its full potential", Waling said early in the episode, setting the tone for the conversation. Founded in 2013, 8vance has been pioneering the use of data and algorithms to connect candidates and employers in new ways. But Waling noted that the industry has been slow to adapt to these changes. The traditional model of recruitment — focused on reviewing CVs and job descriptions — has room for improvement, according to Waling. “When you ask a candidate to list their skills, they might give you 10 or 20. But our algorithms can identify up to 200 skills that candidates don’t even realise they have. This gives recruiters a deeper and more accurate understanding of a candidate’s abilities." About AI in Recruitment In AI in Recruitment, co-hosts Martijn Hemminga and Jasper Spanjaart explore the benefits, challenges, and potential pitfalls of using AI to source, screen, and hire candidates. Subscribe to AI in Recruitment today for analysis, insights, interviews and more! Visit AI in Recruitment for more!

    59 min
  2. Exploring the new wave of Gen AI Models: Baidu’s Ernie Turbo, Claude and Perplexity | AI in Recruitment Episode 14

    24 JUL

    Exploring the new wave of Gen AI Models: Baidu’s Ernie Turbo, Claude and Perplexity | AI in Recruitment Episode 14

    In the fourteenth episode, co-hosts Martijn Hemminga and Jasper Spanjaart do a deep-dive into Generative AI models not called ChatGPT: Claude, Perplexity and Baidu's Ernie Turbo. Which ones stand out? AI in Recruitment Benelux Award returns! To kick things off, the episode shared some thrilling news for the Benelux listeners. The entries for the AI in Recruitment Benelux Award are now open for the second time. "This award, inspired by our podcast, recognises innovative organisations in the Benelux that leverage AI to revolutionise recruitment", says Spanjaart. Hemminga added to this excitement by reflecting on last year’s success. "Last year's winner was Knowledgemarker, and we're looking forward to seeing more groundbreaking entries this year. It's a fantastic opportunity to showcase your AI-powered recruitment tools and cases." You can submit your entries until September 5, 2024, via recruitmenttech.nl/awards. Diving into AI Models: Claude, Perplexity, and Ernie Turbo The episode dives into three AI models not called ChatGPT: Claude, Perplexity and Baidu's Ernie Turbo. 1. Claude: Human-like texts Claude's up first. "Claude is an AI language model developed by Anthropic. It comes in three versions: Haiku, Sonnet, and Opus. Haiku is a small, fast model, while Opus is a very large one. Interestingly, the update of the middle model, Sonnet, to version 3.5 made it more powerful than their largest model, Opus, and even surpassed ChatGPT 4.0 according to some specialists." There was praise for Claude’s capabilities, with a nearly human-like text generation. "Claude is quite good at writing easy-to-read texts. The output of ChatGPT can sometimes feel overly influenced by American sales copy, but Claude writes in a way that sounds more human." "Claude can even write simple programs, like creating a quiz about American politics with animations. It's still under development, but it's already very impressive. Claude also has an Android app that might be better than OpenAI’s, alongside its iOS app. That’s intriguing." 2. Perplexity: the contextual AI Model Next, Hemminga introduced Perplexity, an AI model known for its innovative approach to generating human-like text. "Unlike other AI tools that rely heavily on large language models, Perplexity starts by understanding the context of your query," he explained. "This approach sets Perplexity apart." "It emphasises understanding the nuances of your query, conducts thorough research, and generates a response linked back to its original sources." "Perplexity ensures it grasps the essence of your question before diving into the vast sea of information. It emphasises understanding the nuances of your query, conducts thorough research, and generates a response linked back to its original sources. This makes fact-checking easier and more reliable." 3. Ernie Turbo: Baidu’s high-speed AI Lastly, they discussed Baidu’s Ernie Turbo. "This AI model focuses on high-speed and accurate natural language processing. Their website is in Chinese, but with the help of a VPN and Google Translate, we were able to give it some queries."  "Maybe in a few years, we’ll conclude that China has won the AI race with Baidu’s various models." "Ernie Turbo is fairly similar to ChatGPT, though it also has a text-to-video feature and boasts 200 million daily queries. It’s the backbone of Baidu Comate, an AI coding assistant, with a code adoption rate of 46%. The images it creates are quite impressive, possibly even better than Microsoft’s Copilot." "Maybe in a few years, we’ll conclude that China has won the AI race with Baidu’s various models", Spanjaart concluded.

    55 min

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Recruitment Tech Podcasts EN are English-language podcasts about recruitment technology. Stay informed via Recruitmenttech.com/podcasts.

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