LyRise, a company, used Meta Llama 2, an open-source language model, to match candidates to roles. The model was initially tested and found to be the best option for the company's case. LyRise Technology & AI Lead Mohamed Rashad stated that they started using Llama 2 for experimentation and now utilize it reliably in their alpha and beta development.
AIMeta | Rating: 85 | 2024-08-08 04:06:58 PM |
Large language models have demonstrated exceptional abilities across various language tasks and NLP benchmarks. Small AI product teams can adapt and integrate these models into their projects. The blog post provides guidance on adapting LLMs, clarifying terminology, comparing adaptation methods, and recommending a step-by-step flowchart.
AIMeta | Rating: 57 | 2024-08-07 02:06:28 PM |
Researchers compared different fine-tuning methods for LLM-based systems, including QLoRA, and found that in-context learning (ICL) is a powerful way to improve performance. ICL involves training the model on a small amount of data and can be used to evaluate whether fine-tuning would improve performance on a downstream task. Fine-tuning may be beneficial for certain archetypes, but it's recommended to experiment with ICL first.
AILLM | Rating: 62 | 2024-08-07 02:06:27 PM |
Fine-tuning large language models (LLMs) is a mix of art and science, with best practices still emerging. The approach can be divided into full fine-tuning and parameter-efficient fine-tuning (PEFT), both of which have shown improvements in downstream performance. The choice between the two depends on resource constraints.
AILLMs | Rating: 57 | 2024-08-07 02:06:27 PM |
The Llama Impact Grants program is open for applications, with a total of up to $2 million USD available. The program aims to source innovative use cases of Llama 3.1, an open-source AI model, to address global challenges in education, the environment, and open innovation. Proposals must use the new features and capabilities of Llama 3.1 to explore economically and socially impactful projects.
AILlama | Rating: 53 | 2024-08-05 04:06:16 PM |
Mark Zuckerberg noted that open source AI has more potential to increase human productivity, creativity, and quality of life. SAM 2, the next generation of Meta Seg, is expected to unlock even more exciting possibilities. Since its launch, SAM has made a tremendous impact across disciplines, inspiring new AI-enabled experiences in Meta's family of apps and catalyzing diverse applications in science, medicine, and other industries.
AIMeta | Rating: 75 | 2024-07-29 10:49:40 PM |
Meta shares its AI research and collaborates with the AI community to advance the science, focusing on areas such as AI Infrastructure, Generative AI, NLP, and Computer Vision.
AIMeta | Rating: 62 | 2024-07-23 05:39:36 PM |
FoondaMate, a social study buddy, helps 3 million students learn English and clarify challenging concepts. Its founders, Dacod Magagula and Tao Boyle, use Meta Llama 2 to enhance conversation flow and tone. The bot can rephrase content for different English comprehension levels, include local language and slang, and add emojis. The team is testing Meta Llama 3.
AIMeta | Rating: 84 | 2024-07-23 05:41:35 PM |
Meta Chameleon is a family of models that can combine text and images as input and output any combination of text and images with a single unified architecture. The model uses tokenization for text and images, enabling a more unified approach and making it easier to design, maintain, and scale. The research paper was published last month, and six research artifacts are being publicly released, focusing on themes at the core of Meta Chameleon.
AIMeta | Rating: 71 | 2024-07-23 05:39:36 PM |
SAIF CHECK is using Meta Llama 3 to validate news content, aiming to make model evaluation a conversational workflow. The company's system retains a customer's unique business context, including country of operation and regulatory agency, while retrieving and synthesizing information from diverse sources. SAIF CHECK's goal is to ensure compliance with local laws in the markets where the technology is used, avoiding severe consequences such as legal actions and hefty fines.
AIMeta | Rating: 57 | 2024-07-23 05:39:36 PM |