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Aug 29, 2024 · The tool lets you compare traces and calculate token costs for traces. LangSmith offers auto-evaluation of responses or allows you to write your own functional evaluation tests. An overview of LLM observability and the top tools you can use to monitor the behavior of Large Language Models (LLMs).
Evaluating LLMs: complex scorers and evaluation frameworks. This post details the complex statistical and domain-specific scorers that you can use to evaluate the performance of large language models. It also covers the most widely used LLM evaluation frameworks to help you get started with assessing model performance.
During the benchmark, you compare actual LLM output to this ground truth to get the following general metrics: Accuracy: The percentage of answers the LLM gets right. Factual correctness: The factual correctness of an LLM output. That is, whether something stated by the model is actually correct.
Jul 11, 2024 · Comparing LLM benchmarks for software development. In this post, we’re comparing the various benchmarks that help rank large language models for software development tasks. Large language models are getting advanced enough to be useful for software development tasks. While models are now capable of writing commit messages, searching through ...
Transpiling Go & Java to Ruby using GPT-4o & Claude 3.5 Sonnet. The project was to extend our DevQualityEval LLM code generation benchmark with a new language: Ruby. We successfully used LLMs to transpile existing Java and Go code (tasks and test cases) to Ruby.
Jul 4, 2024 · New real-world cases for write-tests task. The write-tests task lets models analyze a single file in a specific programming language and asks the models to write unit tests to reach 100% coverage. The previous version of DevQualityEval applied this task on a plain function i.e. a function that does nothing.
Sep 4, 2024 · The more input tokens an LLM has to process, or the more output tokens it has to produce, the more computational power is required. You are paying based on how much text the LLM has to process and produce, but the cost is not calculated per character or word, but per token.
In addition to writing a robust unit test suite, make sure you adequately document your code to make it fit for reuse. Since these are going to be “standard” components geared for reuse, you’ll want to document the purpose of your code, its dependencies, and any additional information on how to use certain components.
Development process at Symflower. At Symflower, we always strive for less painful ways to achieve the current goals, through automation and through constant improvement of our workflows. In our opinion, both automation and the ability to change are the base for a productive development process.
Sep 6, 2023 · This post analyzes the findings of the State of Testing™ Report’s 2023 edition with all the key trends, practices, and challenges in software testing relevant now and in the near future. The State of Testing™ Report has been carried out annually since 2014 by PractiTest and their partners.
