Large Language Model (LLM)
LLMOPs vs MLOPs in 2024: Discover the Best Choice for You
In the rapidly evolving landscape of artificial intelligence and machine learning, new terminologies and concepts frequently emerge, often causing confusion among business leaders, IT analysts, and decision-makers. Among these, two terms have gained prominence: LLMOps vs MLOps.
Top 10 Vector Database Use Cases in 2024
Processing, storing, and retrieving vast amounts of information rapidly and efficiently is paramount for businesses. Vector databases are a critical emerging technology in addressing this demand. Unlike traditional databases, vector databases focus on high-dimensional vector data, offering unique advantages for certain use cases.
Comparing 10+ LLMOps Tools: A Comprehensive Vendor Benchmark
The number of large language models (LLMs) has been increasing since 2019 due to the models’ extensive application areas and capabilities (See Figure 1). Yet, the estimates show that designing a new foundation model can cost up to $90 million while fine-tuning or enhancing existing large language models can cost $1 million to $100 thousand.
What is LLMOps, Why It Matters & 7 Best Practices in 2024
Large language model (LLM) applications are increasing after business users realized the language generation capabilities of GPT models like ChatGPT. Generative AI technologies Enterprises can benefit from these advantages by developing a new foundation model or fine-tuning an existing LLM. LLMOps platforms facilitate these activities, lowering operational costs and enabling less technical personnel to complete them.
Vector Database & LLMs: Intersection and Importance in '24
Vector databases (VDBs) and large language models (LLMs) like GPT series are gaining significance. The figure above shows that both concepts started gaining popularity at the beginning of 2023, and the trend shows that both have a similar upward trajectory. Data reigns supreme, and computational advancements dictate technological trends.
An In-depth Guide to Meta LLaMa Language Model in 2024
As AI advances, the access of the research community to generative AI powered tools such as language models is important for making innovations. However, today’s AI models often reside behind proprietary walls, hindering innovation.
Large Language Model Evaluation in 2024: 5 Methods
Large Language Models (LLMs) have recently grown rapidly and they have the potential to lead the AI transformation. It is critical to evaluate LLMs accurately because: Therefore, we need to identify Because LLM evaluation is multi-dimensional, it’s important to have a comprehensive performance evaluation framework for them.
Large Language Models: Complete Guide in 2024
Figure 1: Search volumes for “large language models” Large language models (LLMs) have generated much hype in recent months (see Figure 1). The demand has led to the ongoing development of websites and solutions that leverage language models.
Large Language Model Training in 2024
Large language models (LLMs) took the internet by storm at the end of 2022 as ChatGPT from OpenAI reached 1 million users just 5 days after its launch. ChatGPT’s capabilities and wide applications can be accredited to the 175 billion parameters the GPT-3 language model has.