Articles for category: AI Tools

March 5, 2025

ikayaniaamirshahzad@gmail.com

Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]

Closed Large Language Models (LLMs), which are proprietary and accessible only via APIs, have dominated the LLM space since around 2022 due to their high performance and versatility. However, Open LLMs have made substantial progress, narrowing the performance gap with their Closed LLM counterparts. Open LLMs are models whose architecture and parameters are publicly available for use, modification, and distribution. For instance, while Closed LLMs like Anthropic’s Claude (released in March 2023) and OpenAI’s GPT-4 (released in March 2023) set new benchmarks upon their launches, the Open LLM Llama 3 released by Meta in April 2024 and DeepSeek-R1 released in

March 5, 2025

ikayaniaamirshahzad@gmail.com

Curating High-Quality Customer Identities with Databricks and Amperity

When we think of use cases like product recommendations, churn predictions, advertising attribution and fraud detection, a common denominator is they all require us to consistently identify our customers across various interactions. Failing to recognize that the same person is browsing online, purchasing in-store, opening a marketing email and clicking on an advertisement, leaves us with an incomplete view of the customer, limiting our ability to recognize their needs, preferences and predict their future behavior. Despite its importance, accurately identifying the customer across these interactions is incredibly difficult. People often interact with us without providing explicit identifying details, and when

March 5, 2025

ikayaniaamirshahzad@gmail.com

Mastering spaCy | Data | Paperback

Déborah is a data science consultant and writer. With a BSc in Computer Science from UFPE, one of Brazil’s top computer science programs, she brings a diversified skill set refined through hands-on experience with various technologies. Déborah has thrived in different data science projects, including roles such as lead data scientist and technical contributor for respected publications. Her ability to translate complex concepts into simple language, coupled with her quick learning and broad vision, make her an effective educator. Actively engaged in community initiatives, she works to ensure equitable access to knowledge, reflecting her belief that technology is not a

March 5, 2025

ikayaniaamirshahzad@gmail.com

Generate short videos with the Replicate playground

AI video generation is here, but it’s not always easy to get the results you want. In this guide, I’ll share a convenient workflow for creating AI video with the Replicate playground. The playground is an experimental web interface that gives you a scrapbook-style UI for testing different models, comparing their outputs, and keeping a record of your experiments. We built it for quick iteration with image models, but we’ve found it works great for video models too. Your browser does not support the video tag. Step 1: Start with an image Text-to-video generation is not yet as fast as

March 5, 2025

ikayaniaamirshahzad@gmail.com

Exploring the Convergence of Artificial Intelligence and Neuroscience

The combination of Artificial Intelligence (AI) and Neuroscience is still an exciting domain for scientific research. The study of human cognition intersects with intelligent machine development, catalyzing advances for both fields. This symbiotic relationship has the potential to revolutionize our understanding of cognition and develop more accurate diagnostics/ treatments for neurological diseases. Artificial Intelligence is a discipline in computer science that pertains to the development of machines that can emulate human intelligence. AI has successfully been deployed across domains such as medical diagnostics or natural language processing. Advancements in hardware have driven technological shifts toward machine learning development to deep

March 5, 2025

ikayaniaamirshahzad@gmail.com

How MUFG Bank increased sales efficiency by 10x with LangChain

MUFG Bank is Japan’s largest bank and one of the world’s leading financial institutions. They provide capital market solutions to major corporate clients and promote economic growth around the world.  Problem: Solving data overload for corporate sales  In MUFG Bank’s Global Capital Markets Division, the FX & Derivative Sales team faced a key challenge. FX & Derivative Sales team members needed to gather and analyze vast amounts of corporate data in order to create compelling client presentations – from 10k reports, to market data, to financial disclosures. This was a time-consuming process and skill-dependent (with junior members often needing additional

March 5, 2025

ikayaniaamirshahzad@gmail.com

GPT-4.5 Won’t Blow Your Mind. It Might Befriend It Instead.

Sponsored by: Every Every is hiring! If you’re interested in any of these positions, email Brandon Gell at [email protected] with a link to your LinkedIn and/or X profile and a paragraph about why you’re the right fit. A full-stack growth marketing lead to help grow Every and all of our products. If you live to drive top of funnel, this is a dream job. A full-stack AI engineer for Cora. We’re building a calm inbox and need an engineer to help us. Launched less than a month ago, Cora has over 1,000 daily active users and 10,000 on the waitlist, and product leaders like Andrew Wilkinson and Mike Krieger

March 5, 2025

ikayaniaamirshahzad@gmail.com

Datacenter Anatomy Part 2 – Cooling Systems – SemiAnalysis

Cluster deployments are an order of magnitude larger in scale with Gigawatt-scale datacenters coming online at full capacity much faster than most believe. As such, there are considerable design changes that Datacenter developers planning future sites must consider. We previously covered the Electrical system of Datacenters and how the rise of Generative AI is impacting datacenter design and equipment suppliers. In the second part of this series exploring Datacenter infrastructure and technologies, we’ll focus on Cooling Systems. Oct 14, 2024 Datacenter Anatomy Part 1: Electrical Systems Dylan Patel, Jeremie Eliahou Ontiveros, Daniel Nishball Nvidia shook the entire Datacenter Industry in March

March 5, 2025

ikayaniaamirshahzad@gmail.com

A Practical Guide to Implementing DeepSearch / DeepResearch

A Practical Guide to Implementing DeepSearch / DeepResearch. I really like the definitions Han Xiao from Jina AI proposes for the terms DeepSearch and DeepResearch in this piece: DeepSearch runs through an iterative loop of searching, reading, and reasoning until it finds the optimal answer. […] DeepResearch builds upon DeepSearch by adding a structured framework for generating long research reports. I’ve recently found myself cooling a little on the classic RAG pattern of finding relevant documents and dumping them into the context for a single call to an LLM. I think this definition of DeepSearch helps explain why. RAG is

March 5, 2025

ikayaniaamirshahzad@gmail.com

Release notes for Deephaven Core version 0.37

from deephaven.experimental.table_data_service import ( TableDataServiceBackend, TableKey, TableLocationKey, TableDataService,)from typing import Callable, Optional, Dictimport pyarrow as paclass TableKeyImpl(TableKey): """ A simple implementation of a TableKey. """ def __init__(self, key: str): self.key = key def __hash__(self): return hash(self.key) def __eq__(self, other): if not isinstance(other, TableKeyImpl): return NotImplemented return self.key == other.key def __str__(self): return f"TableKeyImpl{{{self.key}}}"class TableLocationKeyImpl(TableLocationKey): """ A simple implementation of a TableLocationKey. """ def __init__(self, key: str): self.key = key def __hash__(self): return hash(self.key) def __eq__(self, other): if not isinstance(other, TableLocationKeyImpl): return NotImplemented return self.key == other.key def __str__(self): return f"TableLocationKeyImpl{{{self.key}}}"class TestTable: """ A custom table implementation for the backend. """