Business Applications of AI
Business Applications of AI
  • Видео 32
  • Просмотров 67 635
PydanticAI Example from Contracts Domain
PydanticAI is a Python Agent Framework intended to facilitate the development of production-grade applications utilizing Generative AI.
Today, we will observe a Business Contracts Agent that will extract several entities from Contracts.
github.com/scholarly360/pydanticai_eda_for_mna_and_contracts/
Просмотров: 107

Видео

PydanticAI Example from MnA Domain
Просмотров 4214 часов назад
PydanticAI is a Python Agent Framework intended to facilitate the development of production-grade applications utilizing Generative AI. Today, we will observe an M&A Agent that will extract several entities from news articles. github.com/scholarly360/pydanticai_eda_for_mna_and_contracts/
Docling First Impression
Просмотров 18014 дней назад
Docling parses documents (PDF/DOCX/PPTX) and exports them to the desired format (markdown/text) with ease and speed. FOllowing are its features :: Advanced PDF document understanding including page layout, reading order & table structures Unified, expressive DoclingDocument representation format Easy integration with LlamaIndex & LangChain for powerful RAG / QA applications OCR support for scan...
Swarm Agent Framework Initial Exploration
Просмотров 1812 месяца назад
Swarm Framework by OpenAI is for building, orchestrating and deploying multi-agent systems. works on making coordination and execution of agents light, easy to control, and testable. This is done with the help of two basic abstractions: agents and handoffs. A conversation can be passed on to another Agent at any time. An Agent is in charge of giving directions and tools. These building blocks a...
Running AI agents Locally with Ollama
Просмотров 5822 месяца назад
Numerous arguments exist for favoring locally accessible Large Language Models (LLMs) over commercial LLMs in the development of agents. The key considerations are as follows: Data Privacy and Security Confidential Information Compliance Regulation of the Model Customization Updates and Maintenance Economic Efficiency Operational Expenses Latency and Performance: We shall be using ollama with A...
Large action models: Using AI to automate workflow processes
Просмотров 2683 месяца назад
Welcome to the world of Large Action Models, or LAMs, a game-changer in AI! While large language models (LLMs) are great at generating text and media, LAMs take it a step further by performing complex tasks autonomously. Imagine an AI that doesn't just generate text but actively engages in workflows, whether sending emails, managing your CRM, or even making decisions in real-time. LAMs are buil...
Gemma2 2B Fine Tuning Complete Guide on Colab
Просмотров 6214 месяца назад
Google unveiled Gemma 2 2B, a new iteration of the well-known 2 billion (2B) parameter model. This model boasts a powerful balance of performance and efficiency, as well as built-in safety advancements. Our custom data set will be fine-tuned in this tutorial. Colab Links : colab.research.google.com/drive/1be1kIhnkCCbuy9ZQ_o6FKgUsseFvKMhZ?usp=sharing colab.research.google.com/drive/1WcJSlXorkh3N...
Llama3.1 Fine Tuning Complete Guide on Colab
Просмотров 3,9 тыс.4 месяца назад
Until the previous year, the capabilities and efficacy of open source large language models were primarily inferior to those of their closed counterparts. Currently, open source is the driving force behind the transition to a new era. Meta is introducing upgraded variants of the 8B and 70B models as part of this most recent release. These are multilingual and possess a significantly extended co...
gpt-4-o-mini Fine Tuning Complete Guide on Colab
Просмотров 2,8 тыс.4 месяца назад
Fine-tuning enables you to extract additional benefits from the models accessible via the API by offering: Higher quality outcomes than those achieved through prompting. Capacity to train on a greater number of examples than can be accommodated in a prompt. Token savings as a result of shortened prompts. Requests with reduced latency. By training on a significantly greater number of examples th...
GPT-4-O-Mini First Impression
Просмотров 1034 месяца назад
Increasing access to intelligence is a top priority for OpenAI. The GPT-4o mini is one of the most cost-effective compact models to be introduced. I expect the GPT-4o mini to significantly expand the range of AI applications by lowering the cost of intelligence. The GPT-4o Mini currently outperforms the GPT-4 on chat preferences and scores 82% on MMLU. It is priced at 15 cents per million input...
Integrate Mesop UI Components With Nvidia Nim
Просмотров 1465 месяцев назад
Mesop is a Python-based UI framework that enables the rapid development of web applications, including internal applications and demonstrations. It is effortless to initiate a UI in Python code . Additionally, we can create personalized user interfaces without the need to write JavaScript, CSS, or HTML. NVIDIA Inference Microservices (NIM) is a collection of microservices that facilitate the de...
PaliGemma Vision Language Model for Form and Table Understanding
Просмотров 6886 месяцев назад
PaliGemma accepts both textual and image inputs and is capable of providing detailed and contextual responses to questions regarding images. This enables the model to conduct more comprehensive analyses of images and offer valuable insights, including but not limited to object detection, captioning for images and short videos, and text comprehension within images. PaliGemma is an open vision-la...
langchain-huggingface Complete Guide On Colab
Просмотров 3846 месяцев назад
Although the community initially coded every Hugging Face-related class in Lang-Chain, the lack of an insider's perspective eventually rendered some classes obsolete. HuggingFace has developed a new library that will shorten the time it takes to introduce new features to LangChain's consumers that are part of the HuggingFace ecosystem. In this video, we shall see three use cases. Embeddings Cre...
Llama3 Complete Guide On Colab
Просмотров 5 тыс.7 месяцев назад
Meta Llama 3, the next generation of Llama, is now available for broad use. It features pretrained and instruction-fine-tuned language models with 8B and 70B parameters, supporting various use cases. The models demonstrate state-of-the-art performance and offer new capabilities, including improved reasoning. The company aims to build the best open models on par with proprietary models, addressi...
OpenDevin : Making an autonomous AI engineer for exploratory data analysis
Просмотров 1,3 тыс.8 месяцев назад
OpenDevin is an open-source project designed to mimic Devin, an autonomous AI software engineer with the ability to carry out challenging engineering tasks and actively participate in user collaboration on software development projects. This project uses the strength of the open-source community to reproduce, improve, and innovate upon Devin. We are going to set up our agent and will try to pro...
Moondream 2: Tiny Visual Language Model For Document Understanding
Просмотров 2,1 тыс.8 месяцев назад
Moondream 2: Tiny Visual Language Model For Document Understanding
Stop ChatGPT From Going Rogue In Production
Просмотров 18710 месяцев назад
Stop ChatGPT From Going Rogue In Production
Mamba complete guide on colab
Просмотров 2,4 тыс.11 месяцев назад
Mamba complete guide on colab
OpenAI Assistants API and Retrieval Tool : Complete Guide
Просмотров 1,7 тыс.Год назад
OpenAI Assistants API and Retrieval Tool : Complete Guide
Open-Source LLaVA for Form And Table Understanding
Просмотров 310Год назад
Open-Source LLaVA for Form And Table Understanding
GPT4 Vision for Form and Table Understanding
Просмотров 498Год назад
GPT4 Vision for Form and Table Understanding
ChatGPT MarTech Agent for Marketing Automation
Просмотров 222Год назад
ChatGPT MarTech Agent for Marketing Automation
Make a SaaS product with AutoGen LLM Agent
Просмотров 12 тыс.Год назад
Make a SaaS product with AutoGen LLM Agent
Mistral7b Complete Guide on Colab
Просмотров 9 тыс.Год назад
Mistral7b Complete Guide on Colab
State-of-the-Art BGE embeddings for Retrieval Augmented Generation
Просмотров 3,3 тыс.Год назад
State-of-the-Art BGE embeddings for Retrieval Augmented Generation
Retrieval Augmented Generation Using Llama2 And Falcon​
Просмотров 2,9 тыс.Год назад
Retrieval Augmented Generation Using Llama2 And Falcon​
Sales Call Analytics Using Large Language Models
Просмотров 415Год назад
Sales Call Analytics Using Large Language Models
Performance of Bard on various Use Cases
Просмотров 34Год назад
Performance of Bard on various Use Cases
Hindenburg Adani Saga : Allegations and Early AI Experiments
Просмотров 67Год назад
Hindenburg Adani Saga : Allegations and Early AI Experiments
OpenAI vs WizardCoder : Battle of Code LLMs
Просмотров 276Год назад
OpenAI vs WizardCoder : Battle of Code LLMs