Flipboard

APRIL 9, 2025

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In this post, we provide an overview of common multi-LLM applications.

LLM 170

LLM Generative AI AI AI 170

Analytics Vidhya

FEBRUARY 25, 2025

Sonnet LLM, it’s here to shake the world of generative AI even more. Sonnet vs Grok 3: Which LLM is Better at Coding? Since last June, Anthropic has ruled over the coding benchmarks with its Claude 3.5 Today with its latest Claude 3.7 Both […] The post Claude 3.7 appeared first on Analytics Vidhya.

LLM 231

LLM Generative AI AI AI 231

Analytics Vidhya

OCTOBER 11, 2024

Integrating LLM agents into an organization requires thoughtful planning and […] The post Step-by-Step Guide to Integrate LLM Agents in an Organization appeared first on Analytics Vidhya. Organizations across sectors are now leveraging GenAI to streamline processes and increase the efficiency of their workforce.

LLM 207

LLM Large Language Models OpenAI Generative AI 207

Analytics Vidhya

APRIL 8, 2025

BERTScore reverses […] The post BERTScore: A Contextual Metric for LLM Evaluation appeared first on Analytics Vidhya. Conventional metrics such as BLEU, ROUGE, and METEOR tend to fail in comprehending the real meaning of the text. They are too keen on matching similar words instead of comprehending the concept behind it.

LLM 175

LLM BERT 175

Analytics Vidhya

JANUARY 26, 2025

Gemini 2.0 – Which LLM to Use and When appeared first on Analytics Vidhya. With new models constantly emerging – each promising to outperform the last – its easy to feel overwhelmed. Dont worry, we are here to help you. This blog dives into three of the most […] The post GPT-4o, Claude 3.5,

LLM 232

LLM Large Language Models Generative AI AI 232

Analytics Vidhya

FEBRUARY 12, 2025

Among these models, two different methods of language processing are represented by Base LLM and Instruction-Tuned LLM. This article examines the main distinctions between these two categories of models, as well as their training processes, […] The post Base LLM vs Instruction-Tuned LLM appeared first on Analytics Vidhya.

LLM 140

LLM Artificial Intelligence Artificial Intelligence 140

Analytics Vidhya

APRIL 25, 2025

Artificial Intelligence (AI) and, more recently, Generative AI are no […] The post When to Use SLM over LLM? From the time of the steam engine to the dot-com bubble, the power of technology lies in the extent to which it helps us solve problems. appeared first on Analytics Vidhya.

LLM 162

LLM Artificial Intelligence Artificial Intelligence Generative AI 162

Analytics Vidhya

JANUARY 23, 2025

As LLMs continue to evolve, robust evaluation methodologies are crucial […] The post A Guide on Effective LLM Assessment with DeepEval appeared first on Analytics Vidhya.

LLM 222

LLM Large Language Models Generative AI AI 222

Analytics Vidhya

JANUARY 7, 2025

In this article, we will examine how […] The post Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio appeared first on Analytics Vidhya. OpenAI and Google AI Studio are two major platforms offering tools for this purpose, each with distinct features and workflows.

LLM 208

LLM OpenAI Large Language Models AI 208

Analytics Vidhya

DECEMBER 24, 2024

model, demonstrating how cutting-edge AI technologies can streamline and enhance […] The post Build Production-Grade LLM-Powered Applications with PydanticAI appeared first on Analytics Vidhya.

LLM 208

LLM Software Development Artificial Intelligence Artificial Intelligence 208

Analytics Vidhya

APRIL 6, 2025

Among the various metrics developed for this purpose, the Perplexity Metric stands out as one of the most fundamental and widely used evaluation metrics in the field of Natural […] The post Perplexity Metric for LLM Evaluation appeared first on Analytics Vidhya.

LLM 152

LLM 152

Analytics Vidhya

APRIL 8, 2025

Large Language Models (LLMs) have become integral to modern AI applications, but evaluating their capabilities remains a challenge. Traditional benchmarks have long been the standard for measuring LLM performance, but with the rapid evolution of AI, many are questioning their continued relevance. appeared first on Analytics Vidhya.

LLM 140

LLM Large Language Models AI AI 140

Analytics Vidhya

MARCH 6, 2025

Here, LLM benchmarks take center stage, providing systematic evaluations to measure a model’s skill in tasks like language […] The post 14 Popular LLM Benchmarks to Know in 2025 appeared first on Analytics Vidhya.

LLM 162

LLM Large Language Models Generative AI AI 162

Analytics Vidhya

NOVEMBER 14, 2024

In this blog, we’ll explore exciting, new, and lesser-known features of the CrewAI framework by building […] The post Build LLM Agents on the Fly Without Code With CrewAI appeared first on Analytics Vidhya.

LLM 208

LLM Automation Generative AI AI 208

Analytics Vidhya

NOVEMBER 16, 2024

The full rollout for the Grok-2 and Grok-2 mini models is anticipated soon, promising enhancements in performance and efficiency […] The post How to Create a Social Media Writer Using xAI’s Grok LLM? appeared first on Analytics Vidhya.

LLM 218

LLM AI AI Generative AI 218

AI News

APRIL 29, 2025

These companies collectively referred to as the “AI tigers” are involved heavily in LLM development, pushing the next generation of AI. The post OpenAI’s latest LLM opens doors for China’s AI startups appeared first on AI News. model family, which features advances in coding and mathematics.

LLM 155

LLM Big Data OpenAI Large Language Models 155

Analytics Vidhya

MARCH 21, 2025

The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us.

LLM 152

LLM AI AI Generative AI 152

Analytics Vidhya

MARCH 7, 2025

Understanding LLM Evaluation Metrics is crucial for maximizing the potential of large language models. LLM evaluation Metrics help measure a models accuracy, relevance, and overall effectiveness using various benchmarks and criteria.

LLM 162

LLM Large Language Models Generative AI AI 162

Unite.AI

DECEMBER 12, 2024

Ease of Integration : Groq offers both Python and OpenAI client SDKs, making it straightforward to integrate with frameworks like LangChain and LlamaIndex for building advanced LLM applications and chatbots. Real-Time Streaming : Enables streaming of LLM outputs, minimizing perceived latency and enhancing user experience.

LLM 278

LLM AI AI OpenAI 278

Unite.AI

NOVEMBER 25, 2024

For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. This article dives into design patterns in Python, focusing on their relevance in AI and LLM -based systems. BERT, GPT, or T5) based on the task.

Python 147

Python LLM AI Engineer AI 147

Flipboard

MARCH 1, 2025

With the apps, you can run various LLM models on your computer directly. Once the app is installed, youll download the LLM of your choice into it from an in-app menu. I chose to run DeepSeeks R1 model, but the apps support myriad open-source LLMs. But there are additional benefits to running LLMs locally on your computer, too.

LLM 133

LLM Chatbots AI Chatbots Explainability 133

AI News

APRIL 9, 2025

“When we study superintelligent systems,” the research notes, referencing successes like AlphaGo , “we find two key ingredients enabled this breakthrough: Advanced Reasoning and Iterative Self-Improvement” IDA is presented as a way to integrate both into LLM training.

Big Data 294

Big Data LLM Large Language Models Automation 294

AWS Machine Learning Blog

APRIL 11, 2025

In December 2024, AWS launched the AWS Large Language Model League (AWS LLM League) during re:Invent 2024. The submitted model would be compared against a bigger 90B reference model with the quality of the responses decided using an LLM-as-a-Judge approach. Competitors were tasked with customizing Metas Llama 3.2

LLM 116

LLM Machine Learning Large Language Models ML 116

Analytics Vidhya

MARCH 18, 2025

Today, as discussions around Model Context Protocols (MCP) intensify, LLMs.txt is in the spotlight as a proven, AI-first documentation […] The post LLMs.txt Explained: The Web’s New LLM-Ready Content Standard appeared first on Analytics Vidhya.

Explainability 140

Explainability LLM Large Language Models AI 140

Flipboard

APRIL 20, 2025

Heres the solution: Build an LLM for Leadership by integrating AI-powered tools into your leadership meeting practices. You are now developing your organizations LLM for Leadership. All levels of the organization will benefit from your LLM for Leadership.

LLM 150

LLM AI AI Generative AI 150

AI News

APRIL 17, 2025

When aligned with a large language model (LLM), the encoder is said to outperform other vision encoders in areas like visual question answering (VQA), captioning, document understanding, and grounding (linking text to specific image regions). Current LLM training and evaluation methods often neglect these social and collaborative aspects.

Robotics 345

Robotics Big Data LLM AI 345

AI News

APRIL 1, 2025

Organisations must be aware of the type of data they provide to the LLMs that power their AI products and, importantly, how this data will be interpreted and communicated back to customers. To mitigate this risk, organisations should establish guardrails to prevent LLMs from absorbing and relaying illegal or dangerous information.

DevOps 260

DevOps LLM Big Data Large Language Models 260

Flipboard

APRIL 23, 2025

The integration of modern natural language processing (NLP) and LLM technologies enhances metadata accuracy, enabling more precise search functionality and streamlined document management. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

LLM 110

LLM BERT Metadata Natural Language Processing 110

Unite.AI

DECEMBER 26, 2024

The post Reducing AI Hallucinations with MoME: How Memory Experts Enhance LLM Accuracy appeared first on Unite.AI. With ongoing improvements and careful implementation, MoME has the potential to redefine how AI systems operate, paving the way for smarter, more efficient, and trustworthy AI solutions across industries.

LLM 147

LLM Chatbots AI AI 147

Towards AI

APRIL 28, 2025

Evaluating the output of an LLM-based application contains many facets and cannot be achieved using a single correctness metric. Divide and Conquer To understand why a more complex solution is necessary, lets start with the downsides of the naive approach using a single LLM to evaluate all criteria.

LLM 81

LLM Machine Learning BERT Prompt Engineer 81

Towards AI

APRIL 28, 2025

Your LLM Agent Is Only as Good as Its Retrieval Every intelligent GenAI agent today, from chatbots to autonomous assistants, depends on retrieving the right information at the right time. BM25 + Lightweight AI Wrappers By combining BM25 retrieval with a small LLM (e.g., Why RAG Works Keeps LLM context windows focused on relevant facts.

LLM 103

LLM Python BERT Software Engineer 103

AWS Machine Learning Blog

FEBRUARY 21, 2025

Similar to how a customer service team maintains a bank of carefully crafted answers to frequently asked questions (FAQs), our solution first checks if a users question matches curated and verified responses before letting the LLM generate a new answer. No LLM invocation needed, response in less than 1 second.

LLM 125

LLM Large Language Models Natural Language Processing Machine Learning 125

AWS Machine Learning Blog

APRIL 29, 2025

InterVision used the AWS LLM League program to accelerate their generative AI development for non-emergency (311) contact centers. Understanding the AWS LLM League The AWS LLM League represents an innovative approach to democratizing ML through gamified enablement. You then use SageMaker JumpStart to fine-tune your model.

LLM 108

LLM AI Developer AI Development AI 108