Book a Call

Shivam Danawale

Shivam is an AI Researcher & Full Stack Engineer at Ionio.

How to Leverage LLMs for automated Hyper Personalized Offer Generation

Learn how to implement customer segmentation using different techniques and how you can leverage LLMs to analyze results from those techniques. We will learn about techniques like RFM analysis and K-means algorithm for customer segmentation. We will also create a tool to generate offers for different customer groups along with other business use cases.

Shivam Danawale

February 9, 2024

How to generate dynamic dashboards and analytics using LLMs?

Learn how we created a tool to dynamically generate dashboard chart and metrics for a given business info and database using Large Language Models (LLMs). We will also discuss why dynamic dashboards are better than traditional dashboards.

Shivam Danawale

February 9, 2024

Complete guide on "How to evaluate LangChain & other LLM Agents in Production with LangSmith?" - Code Included

AI Agent evaluation is one of the most important step while launching your AI agents into production to make sure that your agents are taking the desired steps without an error. In this blog, we will discuss top 3 ways to evaluate your LLM agent using LangSmith. We will also compare various LLM models to evaluate their function calling capabilities with our AI agent.

Shivam Danawale

February 9, 2024

How to Create an AI Agent to Manage Your Email Inbox and Reply to Your Cold Email: Code Included (Part-2)

This is part 2 of creating an AI agent to manage and reply to your cold emails blog where we saw how to create an AI agent using Langchain which can classify and reply to your cold emails in your tone and style. In this blog, we will see how to make it more autonomous by triggering it when someone replies to your email using smartlead webhooks and also we will create a user interface to track the agent's live activity and all the previously generated email responses.

Shivam Danawale

February 9, 2024

A Comprehensive Guide About Langgraph: Code Included

In this blog, we will explore how Langgraph can help us to automate complex and large workflows using its unique decision making and easy to understand architecture. We will understand the components of Langgraph and then we will see how we can make a multi-purpose AI agent using CrewAI and Langgraph.

Shivam Danawale

February 9, 2024

What are Large Action Models (LAM) and How They Work?

In this article, we will discuss a new trend in the generative AI field that is large action models that can not only give instruction on how to perform any task but can take action on user's behalf. We will discuss about their architecture and then we will discuss some popular LAMs in the market like rabbit r1 and autodroid.

Shivam Danawale

February 9, 2024

Fine Tuning Embedding Models using Sentence Transformers: Code Included

In this article, we will learn about embedding models, how they work and different features of sentence transformers. Using sentence transformers, we will fine-tune a bert base model using triplets and snli dataset and then we will also evaluate our model performance after fine-tuning.

Shivam Danawale

February 9, 2024

How to Create an AI Agent to Manage Your Email Inbox and Reply to Your Cold Email: Code Included (Part-1)

Explore creating a personalized AI agent that categorizes and responds to emails in your unique tone and style. Learn to customize email responses using Langchain and utilize vector embeddings with LLM for better answers.

Shivam Danawale

February 9, 2024

A Comprehensive Guide to Multimodal LLMs and How they Work

This blog provides an in-depth exploration of multimodal large language models (LLMs), cutting-edge AI systems that can process and generate data across multiple modalities like text, images, and audio. You will also learn about the underlying architecture of multimodal LLMs and some popular techniques or models which are using multimodal learning.

Shivam Danawale

February 9, 2024

How to build LLM agent to automate your code review workflow using crewAI?

Agents in crewAI are designed to perform specific tasks, such as code review, by leveraging large language models (LLMs). Tasks are defined operations or actions that these agents carry out, while crews are groups of agents working together to achieve a collective goal, enhancing productivity and efficiency in processes like code review workflows.

Shivam Danawale

February 9, 2024

How to build an LLM Agent for Sales? Research prospects & create proposals BEFORE discovery calls with LangChain, GPT4 & Perplexity's API

Learn how to use Langchain, GPT4, and Perplexity’s API to create an LLM agent that can research prospects and create proposals for you BEFORE you even get on discovery calls - all of the code is included.

Shivam Danawale

February 9, 2024

What are Graph Neural Networks (GNN) & How Do They Work?: A Comprehensive Guide

In this blog you will learn about GNNs & how they work in detail and also how they are different from traditional neural networks.

Shivam Danawale

February 9, 2024

An Ultimate Guide to Embeddings and Vectors: Code Included

This blog provides in depth explaination about embeddings and vectors with code explaination. You will know about different type of embeddings,use cases of embeddings and more.

Shivam Danawale

February 9, 2024

Featured
No items found.
Categories
No items found.
We can help you grow your business

Sign up for our AI newsletter.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Ionio LLC

Copyrights © All Rights Reserved by Ionio.io
+1-910-315-0746 2055 Limestone Rd STE 200C IN Wilmington Wilmington, DE 19808
company
Privacy PolicyTerms of Service