TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

Results

4 similar posts found

Search: #classaction

当前筛选 #classaction清除筛选
Crypto M - Crypto News

@CryptoM · Post #64772 · 04/09/2026, 09:39 PM

🚀 Circle Shares Decline After Downgrade Amid Drift Exploit Concerns Circle's stock experienced a 9.9% drop, closing at $85.10, following a downgrade by Compass Point from neutral to sell. According to NS3.AI, this development comes amid a notice urging investors impacted by the $280 million Drift exploit to reach out to Gibbs Mura for potential financial recovery. This notice suggests the possibility of an early-stage class-action investigation. It is important to note that Circle was not directly involved in the exploit. #Circle#StockMarket#Downgrade#DriftExploit#FinancialRecovery#ClassAction#Investing#USDC

Crypto M - Crypto News

@CryptoM · Post #64665 · 04/09/2026, 01:15 PM

🚀 Gibbs Mura Investigates Drift Protocol Theft in Class Action Gibbs Mura, a U.S. law firm, has announced a class action investigation into the theft involving Drift Protocol, with the funds involved estimated between $280 million and $285 million. According to ChainCatcher, over $230 million in USDC was transferred to Ethereum via Circle's Cross-Chain Transfer Protocol (CCTP). Gibbs Mura argues that although Circle has the technical capability to freeze funds, it did not take such action during the attack. The firm is currently assessing whether investors can claim against Circle for 'failure to intervene timely,' 'insufficient monitoring,' and 'not fulfilling stablecoin responsibilities.' Affected users are encouraged to join the lawsuit to aid in the recovery of funds. #GibbsMura#DriftProtocol#ClassAction#TheftInvestigation#USDC#Ethereum#Circle#CrossChainTransfer#StablecoinResponsibilities#FundsRecovery

Crypto M - Crypto News

@CryptoM · Post #64890 · 04/10/2026, 07:13 AM

🚀 State Farm Settles Class Action for $20.93 Million Over Misleading Policies State Farm has agreed to establish a $20.93 million fund to resolve a class action lawsuit alleging the sale of misleading U Coverage policies to motorists in New Mexico. According to NS3.AI, the settlement pertains to policies purchased between January 1, 2010, and December 31, 2021. Affected policyholders must submit their claims by July 2. #StateFarm#ClassAction#Settlement#MisleadingPolicies#UCoverage#NewMexico#Insurance#Lawsuit#Claims

Crypto M - Crypto News

@CryptoM · Post #64828 · 04/10/2026, 02:54 AM

🚀 Edelson Lechtzin LLP Investigates Figure Data Breach Edelson Lechtzin LLP, a U.S. law firm, has initiated a class action investigation into a data breach involving blockchain capital markets company Figure. According to Foresight News, the security incident occurred on January 28, 2026, when unauthorized access to a database containing loan and inquiry records led to the exposure of personal data. The investigation revealed that sensitive information, including names, social security numbers, addresses, phone numbers, email addresses, birth dates, loan account numbers, and loan details, may have been compromised. #EdelsonLechtzinLLP#FigureDataBreach#DataBreachInvestigation#BlockchainCapitalMarkets#ClassAction#PersonalDataExposure#SensitiveInformation#SecurityIncident#LoanRecords#PrivacyViolation