One of the key challenges we hear about is keeping up with the continuous evolution of the tech, plus the sheer number of options out there that promise to make everything easier and faster. ‘Where to start?’ is a question we’ve been helping our customers with, cutting through the BS and sharing our knowledge on how to ensure success with AI.
In this blog, we’re focusing on the differences between different AI models (
or Large Language Models aka LLMs). An LLM is simply the tech that underpins the AI tool you input your prompt into, such as ChatGPT. It’s what generates the output in response to your prompt. Each LLM gives different outputs to the same prompt, so to ensure quality and efficiency, it’s important to understand the pros and cons of each.
But without trying them all, how can you know which is best? We’ve done the hard work for you - keep reading to explore the capabilities of OpenAI's
ChatGPT-3.5, ChatGPT-4 Turbo, ChatGPT-4o, and Anthropic's
Claude, and get our take on their best use cases in recruitment.
For the most up-to-date summary of summaries, you can also
check out this leaderboard by Scale.
ChatGPT-3.5: Efficient for routine tasks - Ideal use cases: Generating job descriptions, summarizing candidate profiles and creating basic interview questions.
- Strengths: Fast processing (3-6 seconds), suitable for text-based tasks with a context window of up to 3,000 words.
- Limitations: Not ideal for complex queries or tasks requiring extended context retention.
- Usage: 80% of Kyloe AI Assist prompts are handled by ChatGPT-3.5 due to its speed and efficiency.
ChatGPT-4 Turbo: Advanced analysis and tailored engagement - Ideal use cases: Analyzing multiple resumes against job criteria, conducting detailed candidate assessments, and generating tailored interview questions.
- Strengths: Enhanced reasoning, longer context retention (up to 25,000 words), support text and image inputs.
- Limitations: Longer response times (8-15 seconds) compared to ChatGPT-3.5.
- Usage: 20% of prompts in Kyloe AI Assist are allocated to ChatGPT-4Turbo for more complex and detailed tasks.
ChatGPT-4o: Comprehensive recruitment support - Ideal use cases: Video interviews, real-time candidate evaluations, multimedia job postings.
- Strengths: Fast processing, supports text, image, audio, and video inputs, improved accuracy.
- Limitations: It is still in testing mode for some platforms but is expected to become a standard model soon.
- Usage: As of 10th July 2024, ChatGPT-4o is integrated into Kyloe AI Assist - contact us for more details.
Claude: Enhanced context and ethical alignment while producing better communication outputs - Ideal use cases: High-level reasoning tasks, ethical decision-making in recruitment and detailed candidate profiling.
- Strengths: Claude is the LLM that produces the best results when generating communication-based content (such as emails, interview questions, etc…). It has a stronger contextual understanding, and it’s designed with safety and ethical considerations in mind.
- Limitations: Response times and accessibility might vary depending on deployment settings (specific configurations and conditions under which an AI model like Claude is implemented and operated).
- Potential usage: Claude can be instrumental in ensuring fair and unbiased candidate evaluations, and adhering to ethical guidelines in AI-driven recruitment processes.
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As chatter around AI shows no signs of quieting down, implementing it continues to present both challenges and opportunities in all industries, with recruiting and staffing being no exception.
