That's a wrap!Over to you: What other LLM development skills would you add?If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):8 key skills to master LLM Engineering:(free/open-source resources below) https://t.co/kG8qQ6asAB ...

Content Focus - The content focuses on sharing tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) [1] Call to Action - The content encourages readers to reshare the information with their network if they find it insightful [1] Author Information - The author shares tutorials and insights daily and can be found on Twitter/X with the handle @_avichawla [1]

Model Calibration Importance - Modern neural networks can be misleading due to overconfidence in predictions [1][2] - Calibration ensures predicted probabilities align with actual outcomes, crucial for reliable decision-making [2][3] - Overly confident but inaccurate models can lead to suboptimal decisions, exemplified by unnecessary medical tests [3] Calibration Assessment - Reliability Diagrams visually inspect model calibration by plotting expected accuracy against confidence [4] - Expected Calibration Error (ECE) quantifies miscalibration, approximated by averaging accuracy/confidence differences across bins [6] Calibration Techniques - Calibration is important when probabilities matter and models are operationally similar [7] - Binary classification models can be calibrated using histogram binning, isotonic regression, or Platt scaling [7] - Multiclass classification models can be calibrated using binning methods or matrix and vector scaling [7] Experimental Results - LeNet model achieved an accuracy of approximately 55% with an average confidence of approximately 54% [5] - ResNet model achieved an accuracy of approximately 70% but with a higher average confidence of approximately 90%, indicating overconfidence [5] - ResNet model thinks it's 90% confident in its predictions, in reality, it only turns out to be 70% accurate [2]

MARK: MORNING, EVERYONE. WE HAVE THE PARTY PANEL HERE, BEFORE LUNCH. THIS IS A FASCINATING GROUP OF LEADERS AND INNOVATORS HERE TO TALK ABOUT AI.I THOUGHT, ON THIS BEAUTIFUL ENGLISH DAY, WE WOULD START WITH ALL OF US IMAGINING TAKING A TRIP TO WARMER CLIMATES. LET'S FIRE UP GETYOURGUIDE. JOHANNES, I AM COMING IN AS A CONSUMER.HOW WILL I ENCOUNTER AI, AND HOW WILL IT WELCOME OR EXPERIENCE. JOHANNES: GETYOURGUIDE IS THE LARGEST CONSUMER PLATFORM FOR BOOKING EXPERIENCES WORLDWIDE. WE JUST BROKE THE NEWS THIS M ...

We’ll be at @NeurIPS in San Diego, from Tuesday 2nd to Sunday 7th December, meeting exceptional machine learning engineers, machine learning research engineers and machine learning research scientists at all levels to join our teams in London and Lausanne.Meet us in person during the NeurIPS conference.Head to the comments for the link to apply. See you in San Diego! ...

Core Insights - Enova International reported a 22% increase in originations and a 16% rise in total company revenue for the third quarter of 2025 compared to the previous year [1] - Diluted earnings per share reached $3.03, marking a 93% increase, while adjusted earnings per share rose to $3.36, a 37% increase year-over-year [1] - The company maintained strong consolidated credit performance with a net charge-off ratio of 8.5% and a net revenue margin of 57% [1] Financial Performance - The consolidated 30+ day delinquency ratio improved year-over-year to 7.2%, indicating a stable credit outlook [1] - The consolidated portfolio fair value premium remained stable at 115% [1] - Liquidity, including cash, marketable securities, and available capacity on facilities, totaled $1.2 billion as of September 30, 2025 [1] Shareholder Returns - Share repurchases during the quarter amounted to $38 million [1] - CEO David Fisher highlighted strong demand and stable credit performance across both SMB and consumer businesses as key drivers of the quarter's success [1]

We’ll be at @NeurIPS in San Diego, from Tuesday 2nd to Sunday 7th December, meeting exceptional machine learning engineers at all levels to join our teams in London and Lausanne.Apply to interview with us in-person during the NeurIPS conference.Head to the comments for the link to apply. See you in San Diego! ...

Consolidated Financial Performance - Revenues for Q3 2025 reached $956.167 million, a 1.3% increase compared to Q2 2025 ($943.662 million) and a 3.3% increase compared to Q3 2024 ($926.019 million)[5] - Net income for Q3 2025 was $82.818 million, showing a 15.5% increase from Q2 2025 ($71.698 million) and a 24.6% increase from Q3 2024 ($66.466 million)[5] - Earnings per Diluted Share for Q3 2025 were $2.60, a 22.1% increase from Q2 2025 ($2.13) and a 40.5% increase from Q3 2024 ($1.85)[5] - Adjusted EBITDA for Q3 2025 was $130.573 million, a 17.0% increase from Q2 2025 ($111.640 million) and a 26.8% increase from Q3 2024 ($102.948 million)[5] - Adjusted EBITDA Margin for Q3 2025 was 13.7%, compared to 11.8% in Q2 2025 and 11.1% in Q3 2024[5] Segment Performance - Corporate Finance & Restructuring revenues in Q3 2025 were $404.896 million, up 6.8% from Q2 2025 ($379.239 million) and 18.6% from Q3 2024 ($341.512 million)[8] - Forensic and Litigation Consulting revenues in Q3 2025 were $194.689 million, up 4.4% from Q2 2025 ($186.517 million) and 15.4% from Q3 2024 ($168.778 million)[8] - Economic Consulting revenues in Q3 2025 were $173.086 million, down 9.7% from Q2 2025 ($191.657 million) and 22.0% from Q3 2024 ($222.033 million)[8] - Technology revenues in Q3 2025 were $94.081 million, up 12.5% from Q2 2025 ($83.599 million) but down 14.8% from Q3 2024 ($110.404 million)[8] - Strategic Communications revenues in Q3 2025 were $89.415 million, down 12.9% from Q2 2025 ($102.650 million) but up 7.4% from Q3 2024 ($83.292 million)[8] Cash Flow and Capital Allocation - Net cash provided by operating activities for Q3 2025 was $201.893 million, compared to $55.693 million in Q2 2025 and $219.374 million in Q3 2024[10] - Free Cash Flow for Q3 2025 was $186.979 million, compared to $38.268 million in Q2 2025 and $212.327 million in Q3 2024[10] - Purchase and retirement of common stock in Q3 2025 amounted to $234.211 million, compared to $354.037 million in Q2 2025[10]

Core Insights - Itron, Inc. is collaborating with Gordian Technologies to integrate AI and machine learning into its Grid Edge Intelligence (GEI) portfolio, enhancing utilities' ability to manage energy and water more effectively [1][4] - The partnership aims to improve grid resilience, operational efficiency, and disaster management while providing affordable energy to customers [1][2] Company Overview - Itron is focused on transforming energy, water, and city services management through intelligent infrastructure solutions that enhance efficiency and resilience [6] - Gordian Technologies specializes in edge AI software, providing platforms that enable efficient machine learning and AI capabilities on resource-constrained devices [5] Technology Integration - The integration of Gordian's AI and ML technology into Itron's GEI portfolio will allow utilities to detect, analyze, and classify millions of data events in milliseconds, maximizing the value of smart infrastructure investments [2][3] - The Gordian platform will be accessible through Itron's Distributed Intelligence (DI) Developer Program, enabling developers to create applications that address various utility challenges [3][4] Benefits of Collaboration - The collaboration is expected to deliver advantages such as faster response times, lower operational costs, and decentralized automation, allowing utilities to make real-time, site-specific decisions [4][8] - The enhanced capabilities will support use cases like electric vehicle connection detection and arc flash detection, improving service delivery to customers [3][4]

Core Insights - Authentic Holdings, Inc. has entered into an exclusive partnership with Ninja Digital Holdings to monetize over 30,000 film and TV titles through KLED, a leading data marketplace [1][4] - The extensive content library, acquired for $11 million, includes over 30 terabytes of digital data and will be utilized for AI model training and machine learning applications [2][5] - The partnership positions Authentic Holdings to tap into a new revenue stream by leveraging its entertainment library within the expanding AI ecosystem [3][4] Company Overview - Authentic Holdings, Inc. focuses on acquiring, developing, and monetizing intellectual property across various entertainment sectors, including music, television, and film [6] - The company aims to create value through innovative technologies in both traditional and next-generation media ecosystems [6] Industry Context - The demand for diverse, high-quality data in the AI industry places Authentic Holdings in a favorable position to capitalize on this global opportunity [4][5] - The collaboration with KLED ensures that Authentic's assets will be effectively utilized for AI model training, enhancing the long-term value of its intellectual property portfolio [5][8]