Mistral AI has announced that you can now fully customize their models like Mistral Large 2 and Codestral.
Models can be customized using a base prompt, few-shot prompting, or fine-tuning, and you can bring your own dataset.
Models can be customised using a base prompt See example
Released an early version of Agents, which wraps models with additional context and instruction, for exposure on Le Chat or API. See Example
Some business applications where MVP may help to deploy a Proof of concept:
The need arise from the need to streamline the analysis of exams performed on patients who may present detectable pathologies through imaging studies, assisting the physician in making a faster and more accurate diagnosis.
Researchers at Sakana.AI, a Tokyo-based company, have worked on developing a large language model (LLM) designed specifically for scientific research.
Competing against ChatGPT Enterprise by OpenAI, now Anthropic released its own Claude for Enterprise.
Cerebras Systems, known for its innovative Wafer Scale Engine (WSE), has received a mix of feedback regarding its processors, particularly compared to traditional GPUs like those from Nvidia.
FruitNeRF: Revolutionizing Fruit Counting with Neural Radiance FieldsHow can we accurately count different types of fruits in complex environments using 3D models derived from 2D images without requiring fruit-specific adjustments?
Mistral AI has announced that you can now fully customize their models like Mistral Large 2 and Codestral