The LLM is designed to be fine-tuned using company and industry-specific data. It can be customized to meet the specific needs of users without requiring extensive computational resources. Moreover, it excels in reading comprehension, making it effective for tasks that require understanding and pro...
Mix LLM queries and function calling with regular Python code to create complex LLM-powered functionality. Mirascope Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications Parea AI Platform and SDK for AI Engineers providing tools for LLM...
It's like a language bridge for both casual and formal conversations. Similarly, if you want to make your conversations easier, the voice-to-text function in the software lets you speak and have it translated. It not only provides translations but also perceives the sound. Additionally, ...
Pumble is a free communication tool with no hidden fees. If you’re a small team looking for Slack-like features without the price tag, Pumble is the right choice. It’s a simple but effective platform that allows video conferencing, basic file sharing, voice calling, screen sharing, and ...
LLM yapping immunity Schema coercion BAML fixes broken JSON like trailing commas, unquoted keys, unescaped quotes, new lines, and even fractions. analyze-repo.baml LLM output Parsed Response Function-calling forevery model,in yourfavorite language ...
LLaMA-Factory: Unify Efficient Fine-Tuning of 100+ LLMs. unsloth: 2-5X faster 80% less memory LLM finetuning. TRL: Transformer Reinforcement Learning. Firefly: Firefly: 大模型训练工具,支持训练数十种大模型 Xtuner: An efficient, flexible and full-featured toolkit for fine-tuning large models. ...
LLM yapping immunity Schema coercion BAML fixes broken JSON like trailing commas, unquoted keys, unescaped quotes, new lines, and even fractions. analyze-repo.baml LLM output Parsed Response Function-calling forevery model,in yourfavorite language ...
Function calling with LLMs Context caching with Gemini 1.5 Flash Generating synthetic datasets for RAG Enhancing synthetic dataset diversity Case study on prompt engineering for job classification Leveraging encapsulated prompts in GPT-based systems Task decomposition Better prompts, Better results: Tips for...
Some Conversation Intelligence is powered by large language models (LLMs), giving it a boost in accuracy and capability. However, it’s worth noting that though this type of Conversation Intelligence is more powerful, it’s still making assessments based on a single data point—a call transcript...
The first step in using Opik for LLM evaluation is to create an evaluation Dataset, as seen in Figure 2. We will compute it based on our testing splits stored in Comet artifacts. Figure 2: Example of a Opik dataset. To create it, we will call a utility function we implemented on top...