Piercing the Black Box: ELI5
Piercing the Black Box Jay Ghosh Piercing the Black Box Jay Ghosh

Piercing the Black Box: ELI5

ELI5 (Explain Like I'm 5) is a Python library designed to provide clear, easy-to-understand explanations of machine learning models and their predictions. It offers various tools for interpreting and visualizing the inner workings of models, making it easier for non-technical stakeholders to grasp the decisions made by complex algorithms.

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From RAGs to Riches: Multimodal Retrieval
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From RAGs to Riches: Multimodal Retrieval

While large language models (LLMs) have made remarkable strides in processing and generating text, they often struggle with visual information. This limitation has led to a text-only bias in many AI systems, where they struggle to incorporate or generate visual content effectively.

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Piercing the Black Box: LIME
Piercing the Black Box Jay Ghosh Piercing the Black Box Jay Ghosh

Piercing the Black Box: LIME

Local Interpretable Model-Agnostic Explanations (LIME) is a Python library designed to provide clear, easy-to-understand explanations of machine learning models and their predictions. It offers various tools for interpreting and visualizing the inner workings of models, making it easier for non-technical stakeholders to grasp the decisions made by complex algorithms.

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Custom Chatbots by Delphi Intelligence
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Custom Chatbots by Delphi Intelligence

What if you could have a tireless, knowledgeable assistant that knows your business inside and out? Imagine having the power to provide instant, accurate information to your customers or employees 24/7, while seamlessly aligning with your brand voice and values. With your own custom chatbot, this isn't just a business dream—it's now a reality.

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SocialView by Delphi Intelligence
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SocialView by Delphi Intelligence

What if you could predict the next viral trend in your industry before it happens? Imagine having the power to create content that not only captures your audience's attention but also drives meaningful engagement. With MarketView, the cutting-edge AI platform launched in June 2024, this isn't just a marketer's dream—it's now a reality.

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Piercing the Black Box: SHAP
Piercing the Black Box Jay Ghosh Piercing the Black Box Jay Ghosh

Piercing the Black Box: SHAP

One common criticism of machine learning and AI is that the reasoning behind its output can be obscure. This is what's known as the “black box” of AI. However, despite this common misconception, AI & machine learning models can be understood through a variety of techniques that examine the importance of the features that go into a model.

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From RAGs to Riches: Data Conflicts
RAGs to Riches Reece Suchocki RAGs to Riches Reece Suchocki

From RAGs to Riches: Data Conflicts

One of the main challenges in RAG is dealing with knowledge conflicts between the pre-trained language model and the external knowledge sources. These conflicts can arise when the information in the external sources contradicts or differs from the knowledge learned by the language model during pre-training. To address this issue, researchers have developed techniques for assessing conflicts and calibrating model confidence.

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Talk to Your Data
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Talk to Your Data

Many developers already leverage LLMs to write code, and similarly, LLMs can also generate database queries. By using LLMs to convert natural language questions into SQL queries, businesses can retrieve relevant data and produce insightful visualizations effortlessly.

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From RAGs to Riches: Misinformation
RAGs to Riches Reece Suchocki RAGs to Riches Reece Suchocki

From RAGs to Riches: Misinformation

Imagine an AI assistant that not only understands natural language but also has instant access to the most up-to-date information from your company's databases and beyond. By retrieving relevant information from external sources and integrating it with the LLM's output, Retrieval Augmented Generation (RAG) ensures that generated text is not only fluent but also accurate and applicable to the user's specific needs.

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Anticipating Customer Needs with AI Personas
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Anticipating Customer Needs with AI Personas

In today's competitive business and political landscape, understanding your target audience is more critical than ever. Whether you're a business owner looking to break into new markets or a politician trying to connect with constituents, having a deep understanding of the people you're trying to reach is essential for success.

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Yes, we KAN!
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Yes, we KAN!

For years, a type of artificial neural network called Multi-Layer Perceptrons (MLPs) has been the backbone of many machine learning applications, from basic classification tasks to cutting-edge models like transformers and large language models. However, in April 2024, Liu et al. introduced a revolutionary new approach called Kolmogorov-Arnold Networks (KANs), drawing inspiration from a mathematical concept known as the Kolmogorov-Arnold representation theorem.

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Who We Are
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Who We Are

We founded this company with the belief that AI will bring positive change to our society. AI is ushering in a new wave of great efficiency and prosperity for businesses large and small. At Delphi Intelligence, we help our clients reduce costs and grow revenue by leveraging AI in their business strategy and products.

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