Building Research Agents for Tech Insights
[ad_1] ChatGPT something like: “Please scout all of tech for me and summarize trends and patterns based on what you ...
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How to Analyze and Optimize Your LLMs in 3 Steps
[ad_1] in production, actively responding to user queries. However, you now want to improve your model to handle a larger ...
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How to Context Engineer to Optimize Question Answering Pipelines
[ad_1] engineering is one of the most relevant topics in machine learning today, which is why I’m writing my third ...
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Should We Use LLMs As If They Were Swiss Knives?
[ad_1] or so, it has been impossible to deny that there has been an increase in the hype level towards ...
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How to Develop a Bilingual Voice Assistant
[ad_1] , and Siri are the ubiquitous voice assistants that serve most of the internet connected population today. For the ...
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How to Develop Powerful Internal LLM Benchmarks
[ad_1] LLMs being released almost weekly. Some recent releases we’ve had are Qwen3 coing models, GPT 5, Grok 4, all ...
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How to Perform Comprehensive Large Scale LLM Validation
[ad_1] and evaluations are critical to ensuring robust, high-performing LLM applications. However, such topics are often overlooked in the greater ...
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How to Use LLMs for Powerful Automatic Evaluations
[ad_1] discuss how you can perform automatic evaluations using LLM as a judge. LLMs are widely used today for a ...
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Coconut: A Framework for Latent Reasoning in LLMs
[ad_1] Paper link: https://arxiv.org/abs/2412.06769 Released: 9th of December 2024 Figure 1. The two reasoning modes of Coconut. In Language Mode ...
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Demystifying Cosine Similarity | Towards Data Science
[ad_1] is a commonly used metric for operationalizing tasks such as semantic search and document comparison in the field of ...
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