World’s Largest AI Chip – Cerebras WSE 3

World's Largest AI Chip - Cerebras WSE 3

“World’s Largest AI Chip – Cerebras WSE 3” WSE 3: Integrating 40 Trillion Transistors Cerebras has launched their chip: WSE3. This chip integrates 40 trillion transistors and uses TSMC’s 5-nanometer process. The emergence of this series of chips is challenging Moore’s Law in the semiconductor industry. Cerebras Challenges Moore’s Law Since the introduction of microchips … Read more

In-Depth Look at Cerebras: Architecture of the World’s Largest AI Chip

In-Depth Look at Cerebras: Architecture of the World's Largest AI Chip

Author|Sean Lie Translator|Hu Yanjun, Cheng Haoyuan In recent years, the scale of neural network models has grown exponentially, from BERT with over 100 million parameters in 2018 to GPT-3 with 175 billion parameters in 2020, an increase of three orders of magnitude in just two years, and this growth shows no signs of stopping. People … Read more

Cerebras Systems: The Company Behind the World’s Largest Chip

Cerebras Systems: The Company Behind the World's Largest Chip

A chip that is the largest in the world has taken the chip community by storm. Do you know the story behind the team? By: Yaya Jun Images: Network Recently, the birth of a giant chip has ignited the chip community. It has an area of 42,225 square millimeters, featuring 1.2 trillion transistors, 400,000 cores, … Read more

Cohere’s Open Source 35B Model Surpasses Mixtral in RAG and Tool Capabilities

Cohere's Open Source 35B Model Surpasses Mixtral in RAG and Tool Capabilities

https://txt.cohere.com/command-r/ https://huggingface.co/CohereForAI/c4ai-command-r-v01 1. RAG Performance On multiple datasets, it far exceeds the Mixtral MoE model. By using their own embeddings and reranking, it significantly outperforms open-source models. 2. Tool Capabilities The tool capabilities are slightly better than Mixtral and significantly outperform GPT-3.5. 3. Multilingual Capabilities Supports English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, … Read more

Cohere’s Insights on Programmatic Knowledge Driving LLM Inference

Cohere's Insights on Programmatic Knowledge Driving LLM Inference

The latest research from the Cohere team reveals that the reasoning capabilities of LLMs do not stem from simple retrieval of pre-training data (previously believed to be “approximate retrieval”), but rather from the learning and application of programmatic knowledge, similar to how humans learn general problem-solving methods from examples. This means that LLMs extract reasoning … Read more

Cohere’s Business Logic and API Overview

Cohere's Business Logic and API Overview

With the launch of ChatGPT by OpenAI, generative artificial intelligence (AI) has begun to create a global sensation. This wave has not only attracted the attention of the general public but has also become a hot topic in the investment community. According to the Nikkei, the total market value of over 100 large-scale generative AI … Read more

Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

Cohere RAG Vectorization Tool: Compass Unlocks Multidimensional Email Invoice Log Retrieval

In today’s business landscape, corporate data exhibits high diversity and complexity. Emails, invoices, resumes, support tickets, log messages, and tabular data all contain intricate conceptual relationships and contextual information. However, traditional single-vector embedding models struggle to capture and understand this complex multidimensional data structure, posing significant challenges for data retrieval and mining. The Current State … Read more

Cohere: Toolkit for Developing RAG Applications

Cohere: Toolkit for Developing RAG Applications

Project Introduction Cohere is an open-source toolkit for developing RAG applications, which can be deployed to Microsoft Azure with one click or run locally. Building and Running Locally Clone the repository and run make setup Configure the model according to the instructions – AWS Sagemaker, Azure, or the Cohere platform. This can also be accomplished … Read more

Building A Multi-Agent AI News Generator With Cohere’s Command R 7B

Building A Multi-Agent AI News Generator With Cohere's Command R 7B

Let’s use Cohere’s new ⌘R 7B to build a Multi-Agent AI news generator. Before we start, let’s take a look at what we are building! The application takes user queries, searches the web, and transforms them into a well-crafted news article, complete with citations! Technology Stack: LLM: Cohere ultra-fast ⌘R 7B (can also be replaced … Read more