impacted the model’s ability to complete tasks. we present the error rates of each error type on two benchmarks in figure 4. for toolllms, name error, i.e. calling a non-existent tool, was the most common syntactic error in a tool call. tooldec completely eliminated ...
BLOOM filters: fuzzy deduplication with hashing and fixed-size vector. Sentence deduplication: exact sentence matching.Data qualityRule-based filtering: Remove samples based on a list of unwanted words, like refusals and "As an AI assistant" (example). Argilla: Open-source data curation platform ...
These checks can be done via cosine similarity or fuzzy matching techniques. Safety checks: This ensures that the generated output is free of inappropriate language or that the quality of translated text is high. Nvidia’s NeMo-Guardrails follows a similar principle but is designed to guide LLM-...
We conducted a comparison of the generated queries with the TPC-DS gold standard queries using a series of fuzzy structure matching techniques based on query features. The results demonstrated that the accuracy of the generated queries is insufficient for practical real-world application. 展开 ...
It's good option for some nlp-lite tasks. You can train sklearn classifiers on it, perform basic semantic matching, fuzzy deduplication, ranking and clustering. I think it should work well for creating LLM output evaluators, or other preparatory tasks involved in multi-hop or agentic workflows...
Self-attention works a bit like a fuzzy hash table. You provide a query and instead of looking for an exact match with a key, it finds approximate matches based on the similarity between query and key. But what if the match isn’t a perfect match? It returns some fraction of the value...
Process mining is often used to identify opportunities for process automation leading to improved efficiency and cost savings. Robotic process automation (RPA) is a fast-growing area that provides tremendous productivity growth to a growing number of companies across many industries. RPA tools allow us...
performance on academic benchmarks with well-established evaluation setups. We have also shown that NF4 is more effective than FP4 and that double quantization does not degrade performance. Combined, this forms compelling evidence that 4-bit QLORA tuning reliably yields results matching 16-bit ...
获得更好结果的六个策略Six strategies for getting better results 1、编写清晰的指示Write clear instructions 2、提供参考文本Provide reference text 3、将复杂任务拆分为简单子任务Split complex tasks into simpler subtasks 4、给予 GPT "思考" 的时间Give GPTs time to "think" ...
We categorize and rate content in the external knowledge base, and do various levels of mapping (full-text mapping and fuzzy mapping) to enable better semantic parsing. 4. Plugins We used plugins to connect the LLM to more fields of information, and we have different integration methods ...