Upa V1.3

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Hollie Kipps

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Aug 4, 2024, 6:05:49 PM8/4/24
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Theprimary use of Vicuna is research on large language models and chatbots.The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

Vicuna v1.3 is fine-tuned from LLaMA with supervised instruction fine-tuning.The training data is around 125K conversations collected from ShareGPT.com.See more details in the "Training Details of Vicuna Models" section in the appendix of this paper.


A high-quality RF (MF, HF) converter for software defined radio devices like our NESDR series and the HackRF. Also works as a panadapter for most radios! It will function in both transmit and receive modes if available on your SDR.

Frequency capability of 100kHz-65MHz in upconvert mode and 100kHz-6GHz in passthrough mode.

Proudly made in the USA and Canada!SKU: 100555Sign up for price alert


IMPORTANT NOTE: due to changes implemented in v1.3, enclosures built for previous Ham It Up models are NOT 100% compatible. Specifically, new end-panels are required for full compatibility with older enclosures. Along with v1.3-specific enclosures, we also carry end-panel sets to allow for installation of Ham It Up v1.3 into older enclosures. If you cannot find these in our store, please contact us!


BONUS! We had space left on the PCB, so rather than waste it we have added a noise source circuit at no additional cost! We have even populated most of the components for you. We have the SMA connector required to complete this bonus noise source circuit available for a small additional fee. Details of the noise source circuit are available with the project documentation.


Before operating your unit for the first time, and every time you run with a new SDR, we recommend running the tuning procedure located here. It is not a mandatory procedure but may help fine-tune your, erm. tuning. The basic operational instructions follow.


Version 1.3 of the Analysis Data Model Implementation Guide (ADaMIG) specifies ADaM standard dataset structures and variables, including naming conventions. ADaMIG v1.3 also includes solutions to implementation issues and describes two ADaM standard data structures: the Subject-Level Analysis Dataset (ADSL) and the Basic Data Structure (BDS). The third ADaM data structure, the Occurrence Data Structure (OCCDS), is described in ADaM OCCDS v1.1.


The Duet 3 Tool board is a CAN-FD connected expansion board for the Duet 3 Mainboard that is designed to provide complete control for a direct drive extruder, associated fans, filament sensor and probe. The mounting holes and connector locations match an e3d Hemera (v1.2) or Hemera XS(v1.3) , however it can be used with other direct drive extruders with suitable brackets. The stepper motor, heater, temperature sensor, fans and optionally Z probe and filament monitor all connect to the Duet 3 Tool board, leaving only CAN-FD and power wires to run back to the Duet 3 Mainboard or Tool Distribution Board.


Verra has issued Corrections and Clarifications for VM0010 Improved Forest Management: Conversion from Logged to Protected Forest, v1.3 (PDF). The tracked changes version of the methodology is available under Development History Below. This correction is effective immediately and will be incorporated into the next version of the document.


The methodology quantifies the GHG benefits generated from preventing logging of forests that would have been logged in the absence of carbon finance. This methodology is applicable where the baseline scenario includes planned timber harvest, and under the project scenario, forest use is limited to activities that do not result in commercial timber harvest or forest degradation. This methodology is applicable to tropical, temperate or boreal forests.


Recipients of this document are requested to submit, with their comments, notification of any relevant patent claims or other intellectual property rights of which they may be aware that might be infringed by any implementation of the specification set forth in this document, and to provide supporting documentation.


IMS takes no position regarding the validity or scope of any intellectual property or other rights that might be claimed to pertain implementation or use of the technology described in this document or the extent to which any license under such rights might or might not be available; neither does it represent that it has made any effort to identify any such rights. Information on IMS's procedures with respect to rights in IMS specifications can be found at the IMS Intellectual Property Rights webpage: _policyFinal.pdf .


THIS SPECIFICATION IS BEING OFFERED WITHOUT ANY WARRANTY WHATSOEVER, AND IN PARTICULAR, ANY WARRANTY OF NONINFRINGEMENT IS EXPRESSLY DISCLAIMED. ANY USE OF THIS SPECIFICATION SHALL BE MADE ENTIRELY AT THE IMPLEMENTER'S OWN RISK, AND NEITHER THE CONSORTIUM, NOR ANY OF ITS MEMBERS OR SUBMITTERS, SHALL HAVE ANY LIABILITY WHATSOEVER TO ANY IMPLEMENTER OR THIRD PARTY FOR ANY DAMAGES OF ANY NATURE WHATSOEVER, DIRECTLY OR INDIRECTLY, ARISING FROM THE USE OF THIS SPECIFICATION.


An implementation of this specification that fails to implement a MUST/REQUIRED/SHALL requirement or fails to abide by a MUST NOT/SHALL NOT prohibition is considered nonconformant. SHOULD/SHOULD NOT/RECOMMENDED statements constitute a best practice. Ignoring a best practice does not violate conformance but a decision to disregard such guidance should be carefully considered. MAY/OPTIONAL statements indicate that implementers are entirely free to choose whether or not to implement the option.


LTI has its origins in the IMS Tools Interoperability specifications releasedin 2006. IMS then developed this into what is now referred to as Learning ToolsInteroperability, or LTI. In May 2010, IMS released a version named Basic LTIthat described a simple mechanism for launching tools and content from within anLMS. This provided a small but useful subset of the functionality thatunderlies LTI 1.3 and future releases. When IMS added a simple outcomes servicein March 2011, it renamed Basic LTI as LTI 1.0, with the newrelease including the simple outcomes service named as LTI 1.1.


LTI version 1.3 improves upon version [LTI-11] by moving awayfrom the use of OAuth 1.0a-style signing for authentication and towards a newsecurity model, using OpenID Connect, signed JWTs, and OAuth2.0 workflows for authentication.


Platform. A tool platform or, more simply, platform has traditionallybeen a Learning Management Systems (LMS), but it may be any kind of platformthat needs to delegate bits of functionality out to a suite of tools.


Tool. The external application or service providing functionality to theplatform is called a tool. Examples of tools might include an externallyhosted testing system or a server that contains externally hosted premiumcontent.


Note that, historically, LTI referred to platforms as tool consumers andreferred to tools as tool providers. As this does not align with usage ofthese terms within the OAuth2 and OpenID Connect communities, LTI 1.3 no longeruses these terms and shifts to the terms platform and tool to describe theparties involved in an LTI integration.


This non-normative diagram illustrates the general LTI domain model as definedin this document. Note that in the case of a single tenant model, some one to manyrelationships will de facto become one to one; for example, a tool will only have one deployment,a platform a single platform instance.


A deployment of a tool defines the scope of contexts under which a toolis made available. For example, a tool may be deployed by the instructorinto a single course, or the institution may deploy a tool across thewhole institution, available to all institution's contexts, present and future.


When a user deploys a tool within their tool platform, the platform MUSTgenerate an immutable deployment_id identifier to identify theintegration. A platform MUST generate a unique deployment_id for eachtool it integrates with. Every message between the platform and tool MUSTinclude the deployment_id in addition to the client_id.


A common usage for the tool is to use the deployment id as an account identifier,for example attaching the institution's deployment to the institution's account,or a course-level deployment to a personal instructor's account.


In this deployment model, the tool is registered once; during registration, the securitycontract is established, keys are exchanged and a client_id is created bythe platform. The tool may then be subsequently deployed once or multiple times,each deployment identified by its own lti deployment_id.


In this deployment model, the registration and deployment are often done at the same time,the tool only being deployed once under the given client_id;Each deployment gets its own security contract, andthere is a one to one relation between the client_id and deployment_id.


An LTI Link is a reference to a specific tool stored by a platform whichmay, for example, lead to a specific resource or content hosted on the tool,depending on the message_type of the LTI Link (see section 4.3 Message claims for moreinformation on message_type). The LTI Linkis presented by the platform that provides access to the content of the tooland may be used as a means of performing LTI launches within the context of theplatform.


Typically, an LTI link contains a URL that points to the tool, along with someother metadata used for identification and presentation purposes that are uniqueto each link. Often LTI Links are presented to a user as an HTML link, but thetwo concepts should not be confused - an LTI Link is not just a URL, but maycontain additional data that must be included in a launch to the tool.


Each LTI Link connected to a particular resource (as described in section 3.2 Contexts and resourcesbelow) MUST contain a platform unique identifier named resource_link_id. When an LTILink is associated with a resource, it is referred to as a Resource Link (see section 5.1 Resource linkfor more details).

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